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• 
  

  2020




• Journals articles

  
  
1. Omer Sagi, Lior Rokach Explainable Decision Forest: Transforming a decision forest into an interpretable tree, Information Fusion In Press (2020)
2. Amiel Meiseles, Lior Rokach Source Model Selection for Deep Learning in the Time Series Domain, IEEE Access 8, 6190-6200 (2020)
3. I Tam, M Kalech, L Rokach, E Madar, J Bortman, R Klein Probability-Based Algorithm for Bearing Diagnosis with Untrained Spall Sizes, Sensors 20 (5), 1298 (2020)
4. Asi Greenstein-Messica, Lior Rokach Machine-learning and operation research based method for promotion optimization of products with no price elasticity history, Electronic Commerce Research and Applications 40: 100914 (2020)
5. I Hazan, O Margalit, L Rokach Keystroke dynamics obfuscation using key grouping, Expert Systems with Applications 143: 113091 (2020)
6. I Fayans, Y Motro, L Rokach, Y Oren, J Moran-Gilad Cyber security threats in the microbial genomics era: implications for public health, Eurosurveillance 25(6):1-13 (2020)
7. G Paryanti, H Faig, L Rokach, D Sadot A Direct Learning Approach for Neural Network based Pre-distortion for Coherent Nonlinear Optical Transmitter, Journal of Lightwave Technology In Press (2020)



• 
  

  2019




• Books

  
  
8. Lior Rokach, Ensemble learning. Second Edition, World Scientific, 2019.
• 
  

  Journals articles

  
  
9. Guy Shtar, Lior Rokach, Bracha Shapira, Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures, PLoS ONE 14(8): e0219796 (2019)
10. Guy Shtar, Bracha Shapira, Lior Rokach Clustering Wi-Fi fingerprints for indoor–outdoor detection, Wireless Networks 25(3): 1341-1359 (2019)
11. Victor Makarenkov, Niva Hazon, Ido Guy, Tamar Meisels, Bracha Shapira, Lior Rokach, Implicit Dimension Identification in User-Generated Text with LSTM Networks, Information Processing and Management 56(5): 1880-1893 (2019)
12. Abraham Israeli, Lior Rokach, Asaf Shabtai, Constraint Learning Based Gradient Boosting Trees, Experts Systems with Applications 128: 287-300 (2019)
13. Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, Lee Giles, Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework, IEEE Access 7: 110050-110073 (2019)
14. Ori Or-Meir, Nir Nissim, Yuval Elovici, Lior Rokach, Dynamic Malware Analysis in the Modern Era - A State of the Art Survey., ACM Comput. Surv. 52(5): 88:1-88:48 (2019)
15. Victor Makarenkov, Lior Rokach, Bracha Shapira, Choosing the right word: Using bidirectional LSTM tagger for writing support systems., Eng. Appl. of AI 84: 1-10 (2019)
16. Itay Hazan, Oded Margalit, Lior Rokach, Securing Keystrokes Dynamics from Replay Attacks., Applied Soft Computing. 85: 105798 (2019)
17. Nir Nissim, Omri Lahav, Aviad Cohen, Yuval Elovici, Lior Rokach, Volatile Memory Analysis using the MinHash Method for Efficient and Secured Detection of Malware in Private Cloud., Computer and Security. 87: 101590 (2019)
18. Idan Hecht, Asaf Bar, Lior Rokach, Romi Noy Achiron, Marion R. Munk, Wolfgang Huf, Lee Jampol, Zvia Burgansky-Eliash, Asaf Achiron, Optical Coherence Tomography Biomarkers to Distinguish Diabetic Macular Edema from Pseudophakic Cystoid Macular Edema Using Machine Learning Algorithms, Retina: The Journal of Retinal and Vitreous Diseases 39(12):2283–2291 (2019).
• 
  

  Conference proceedings

  
  
19. Noy Cohen, Lior Rokach, Bracha Shapira, Gilad Katz and Roman Vainshtein,: AutoGRD: Model Recommendation Through Graphical Dataset Representation, The 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, November 3rd-7th, 2019 in Beijing, China, pp. 821-830. Best Research Paper Award
20. Hananya Tannor, Lior Rokach: AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation, International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, 10-16 August 2019 pp. 3555-3561.
21. Zeadna A, Khateb N, Levitas E, Yutam L, Har-Vardi I, Rokach L., Harlev A, Huleihel M, Lunenfeld E.,: Machine Learning as a decision support system in the prediction of sperm extraction in men with non-obstructive azoospermia (NOA), European Society of Human Reproduction and Embryology (ESHRE-2019), 23-26 June 2019, Wien, Austria, Abstract Published also in Human Reproduction, Volume: 34 Pages: 112-112.
• 
  

  Book chapters

  
  
22. Grushka-Cohen H., Biller O., Sofer O., Rokach L., Shapira B.: Simulating User Activity for Assessing Effect of Sampling on DB Activity Monitoring Anomaly Detection, In: Calo S., Bertino E., Verma D. (eds) Policy-Based Autonomic Data Governance. Lecture Notes in Computer Science, vol 11550. pp 82-90, Springer, (2019)
• 
  

  Patents

  
  
23. Shabtai A., Puzis R., Rokach L., Orevi L., Malinsky G., Katzir Z., Bitton R., System and method for assessing cybersecurity awareness, United States patent US 10,454,958. 2019 Oct 22
24. Bar A., Chizi, B., Mimran, D., Rokach L., Shapira, B., Grothe, A. and Swaminathan, R., Synthetic data generation method, United States patent US 10,489,524. 2019 Nov 19



• 
  

  2018

• 
  

  Journals articles

  
  
25. Yuval Lieberman, Lior Rokach, Tal Shay, CaSTLe - classification of single cells by transfer learning: Harnessing the power of publically available single cell RNA sequencing experiments to annotate new experiments, PloS one 13(10), p.e0205499 (2018)
26. Ron Bitton, Andrey Finkelstein, Lior Sidi, Rami Puzis, Lior Rokach, Asaf Shabtai, Taxonomy of Mobile Users' Security-Awareness, Computers and Security, 73, 266-293 (2018)
27. David Biton, Meir Kalech, Lior Rokach FSCOAL- Parallel Simultaneous Fuzzy Co-Clustering and Learning, International Journal of Intelligent Systems 33(7): 1364-1380(2018)
28. Omer Sagi, Lior Rokach Ensemble Learning - A Survey, Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery 8(4) (2018)
29. Asi Messica, Lior Rokach Personal Price Aware Multi-Seller Recommender System: Evidence from eBay, Knowledge-Based Systems 150: 14-26 (2018)
30. Moshe Unger, Bracha Shapira, Lior Rokach, Amit Livne Inferring contextual preferences using deep encoder-decoder learners., The New Review of Hypermedia and Multimedia 24(3): 262-290 (2018)


• 
  

  Conference proceedings



31. Roman Vainshtein, Asnat Greenstein-Messica, Gilad Katz, Bracha Shapira, Lior Rokach: A Hybrid Approach for Automatic Model Recommendation, The 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018, pp. 1623-1626.
32. Ido Guy, Victor Makarenkov, Niva Hazon, Lior Rokach, Bracha Shapira: Identifying Informational vs. Conversational Questions on Community Question Answering Archives., The 11th ACM International Conference on Web Search and Data Mining, Los Angeles, California, USA 2018, pp. 216-224.
33. Liron Ben-Kimon, Yisrael Mirsky, Bracha Shapira, Lior Rokach: Utilizing sequences of touch gestures for user verification on mobile devices, The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), June 3rd - 6th, 2018, Melbourne, Australia 2018, pp. 816-828.
34. Noa Roy-Hubara, Bracha Shapira, Lior Rokach, Peretz Shoval: Evaluation of a Design Method for Graph Database, EMMSAD'2018, pp. 291-303.
35. Gil Paryanti, Lior Rokach, Hananel Faig, Dan Sadot, Recurrent Neural Network for Pre-distortion of Combined Nonlinear Optical Transmitter Impairments with Memory, Advanced Photonics, OSA Signal Processing in Photonic Communications, 02 July 2018 – 05 July 2018, ETH Zurich, Zürich, Switzerland pp. SpW4G.5.
36. Adir Solomon, Ariel Bar, Chen Yanai, Bracha Shapira and Lior Rokach, Predict Demographic Information Using Word2vec on Spatial Trajectories, ACM UMAP 2018, 8 - 11 July, 2018 at Nanyang Technological University, Singapore, pp. 331-339, Best Student Paper Award
37. Ishai Rosenberg, Asaf Shabtai, Yuval Elovici and Lior Rokach, Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers, the 21st International Symposium on Research in Attacks, Intrusions and Defenses (RAID), 10-12 September 2018 - Heraklion, Crete, Greece pp.




2017




Journals articles



38. Asaf Achiron, Zvi Gur, Uri Aviv, Michael Mimouni, Lili Karmona, Lior Rokach, Igor Kaiserman, Predicting refractive surgery outcome: machine learning approach with big data, Journal of Refractive Surgery 2017;33(9):592-597
39. Gilad Katz, Lior Rokach, Wikiometrics: A Wikipedia Based Ranking System, World Wide Web Journal 20(6): 1153-1177 (2017)
40. Yisroel Mirsky, Yuval Elovici, Asaf Shabtai, Bracha Shapira, Lior Rokach, Anomaly Detection for Smartphone Data Streams, Pervasive and Mobile Computing 35: 83-107 (2017)
41. Alon Schclar, Lior Rokach, Amir Amit, Ensembles of Classifiers based on Dimensionality Reduction, Intelligent Data Analysis Volume 21(3): 467-489 (2017)
42. Asi Messica, Lior Rokach, Asaf Shabtai, Personal-Discount Sensitivity Prediction for Mobile Coupon Conversion Optimization, Journal of the Association for Information Science and Technology 68(8): 1940-1952 (2017)
43. Nir Ofek, Asaf Shabtai, Lior Rokach, Fast-CBUS: A Fast Clustering-Based Undersampling Method for Addressing the Class Imbalance Problem, Neurocomputing 243: 88-102 (2017)
44. Noa Roy-Hubara, Lior Rokach, Bracha Shapira, Peretz Shoval, Modeling Graph Database Schema, IT Professional 19(6): 34-43 (2017)
45. Eliahu Khalastchi, Meir Kalech, Lior Rokach, A hybrid approach for improving unsupervised fault detection for robotic systems., Expert Syst. Appl. 81: 372-383 (2017)




Conference proceedings



46. Asnat Greenstein-Messica, Lior Rokach, Michael Friedmann: Session-Based Recommendations Using Item Embedding., IUI 2017: 629-633
47. Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar: Inferring Contextual Preferences Using Deep Auto-Encoding. UMAP 2017: 221-229
48. Liron Ben Kimon, Yisroel Mirsky, Lior Rokach, Bracha Shapira: User Verification on Mobile Devices Using Sequences of Touch Gestures. UMAP 2017: 365-366
49. Tal Hadad, Bronislav Sidik, Nir Ofek, Rami Puzis, Lior Rokach: User Feedback Analysis for Mobile Malware Detection., ICISSP 2017: 83-94
50. Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles: Scholarly Digital Libraries as a Platform for Malware Distribution., SG-CRC 2017: 107-128




2016




Journals articles



51. Lior Rokach Decision forest: Twenty years of research, Information Fusion Volume 27, January 2016, Pages 111--125.
52. Eitan Menahem, Alon Schclar, Lior Rokach, Yuval Elovici XML-AD: Detecting anomalous patterns in XML documents, Information Sciences Volume 326, January 2016, Pages 71--88.
53. Nir Ofek, Soujanya Poria, Lior Rokach, Erik Cambria, Amir Hussain, Asaf Shabtai Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis., Cognitive Computation 8(3):467-477, 2016.
54. Dudi Ben-Shimon, Lior Rokach, Bracha Shapira, Guy Shani, Anytime Algorithms for Recommendation Service Providers, ACM Transactions on Intelligent Systems and Technology 7(3):43, 2016.
55. Asaf Shabtai, Maya Bercovitch, Lior Rokach, Kobi Gal, Yuval Elovici, Erez Shmueli, Behavioral study of users when interacting with active honeytokens, ACM Transactions on Information and System Security (TISSEC) 18(3):9-21, 2016.
56. Moshe Unger, Ariel Bar, Bracha Shapira, Lior Rokach, Towards Latent Context-Aware Recommendation Systems, Knowledge-Based Systems Vol. 104: 165-178, 2016.
57. Edita Grolman, Arial Bar, Brahca Shapira, Lior Rokach, Aviram Dayan, Utilizing Transfer Learning for In-Domain Collaborative Filtering, Knowledge-Based Systems Vol. 107: 70-82, 2016.
58. Lihi Naamani-Dery, Meir Kalach, Lior Rokach, Bracha Shapira, Reducing Preference Elicitation in Group Decision Making, Expert Systems With Applications Vol. 61: 246-261, 2016.
59. Aviad Cohen, Nir Nissim, Lior Rokach, Yuval Elovici, SFEM: Structural Feature Extraction Methodology for the Detection of Malicious Office Documents Using Machine Learning Methods, Expert Systems With Applications Vol 63: 324-343, 2016.
60. Dudi Ben-Shimon, Lior Rokach, Bracha Shapira, An Ensemble Method for Top-N Recommendations from the SVD, Expert Systems With Applications Vol. 64: 84-92, 2016.
61. Ido Blank, Guy Shani, Lior Rokach, Leveraging Metadata to Recommend Keywords for Academic Papers, Journal of the Association for Information Science and Technology 67(12): 3073-3091
62. Nir Nissim, Robert Moskovitch, Oren BarAd, Lior Rokach, Yuval Elovici, ALDROID: Efficient Update of Android Anti-Virus Software Using Designated Active Learning Methods, Knowledge and Information Systems, 49(3): 795-833 (2016)
63. Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici, Matching Entities Across Online Social Networks, Neurocomputing 210: 91-106 (2016)
64. Moran Beladev, Bracha Shapira, Lior Rokach, Recommender Systems for Product Bundling, Knowledge-Based Systems 111: 193-206 (2016)




Conference proceedings



65. Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger, Identifying Attack Propagation Patterns in Honeypots using Markov Chains Modeling and Complex Networks Analysis, IEEE CS International Conference on Software, Science, Technology, and Engineering (SWSTE), June 2016 Beer-Sheva, Israel, pp. 28-36.
66. Hagit Grushka, Oded Sofer, Ofer Biller, Bracha Shapira, Lior Rokach, CyberRank- Knowledge Elicitation for Risk Assessment of Database Security, ACM CIKM< 2016,/cite> pp. 2009-2012
67. Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger, Scalable Attack Propagation Model and Algorithms for Honeypot Systems, IEEE BigData 2016. pp. 1130-1135
68. Yisroel Mirsky, Asaf Shabtai, Lior Rokach, Bracha Shapira, Yuval Elovici, SherLock vs Moriarty: A Smartphone Dataset for Cybersecurity Research, AISec@CCS 2016, pp 1-12.
69. Hagit Grushka, Oded Sofer, Ofer Biller, Bracha Shapira, Lior Rokach, Sampling for SIEM Anomaly Detection in High Throughput Environment, Seventh annual Workshop on Information Security and Privacy (WISP). December 10, 2016, Dublin, Ireland.
70. Sigal Shaked, Lior Rokach, Publishing Differentially Private Medical Events Data,, Availability, Reliability, and Security in Information Systems, Lecture Notes in Computer Science. Volume 9817, Springer 2016, ISBN 978-3-319-45506-8, pp 219-235.
71. Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar, Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories., RecSys Posters 2016. Volume 9817, Springer 2016, ISBN 978-3-319-45506-8, pp 219-235.
72. Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach, RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS), RecSys pp. 415-416 (2016)



Patents



73. B Chizi, Y Elovici, D Mimran, L. Rokach. An accurate mechanism for estimating a mobile communication service's provider market share, European Patent 2,871,869; Granted on March 30, 2016.






2015




Journals articles



74. Daniel Gordon, Danny Hendler, Aryeh Kontorovich, Lior Rokach Local-Shapelets for Fast Classification of Spectrographic Measurements, Expert Systems With Applications 42(6):3150-3158(2015).
75. Ofek Nir and Lior Rokach, A Classifier to Determine which Wikipedia Biographies will be Accepted, Journal of the American Society for Information Science and Technology, 66(1): 213-218 (2015)
76. Daniel Gordon, Danny Hendler, Lior Rokach Fast and scalable shapelets-based time-series classification, Intelligent Data Analysis Volume 19, Issue 5, 2015.
77. Lihi Naamani-Dery, Inon Golan, Meir Kalech, Lior Rokach Preference Elicitation for Group Decisions Using the Borda Voting Rule, Group Decision and Negotiation January 2015, pp. 1-19.



Conference proceedings



78. Yisrael Mirsky, Bracha Shapira, Yuval Elovici, Lior Rokach pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts, Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2015 May 19-22, 2015, in Ho Chi Minh City, Vietnam, pp. 119-133.
79. Nir Ofek, Lior Rokach, Cornelia Caragea, John Yen, The Importance of Pronouns to Sentiment Analysis: Online Cancer Survivor Network Case Study, 24th International World Wide Web Conference (WWW 2015) May 18 to 22, 2015 in Florence, Italy, pp 83-84.
80. Yisrael Mirsky, Bracha Shapira, Roni Stern, Lior Rokach, Search Problems in the Domain of Multiplication: Case Study on Anomaly Detection in Markov Chains, the 8th International Symposium on Combinatorial Search (SoCS 2015) Ein Gedi, Israel, 11-13 June 2015, pp. 70-77.
81. Dmitri Bekerman, Bracha Shapira, Lior Rokach, Ariel Bar Unknown Malware Detection Using Network Traffic Classification, IEEE CNS (Communications and Network Security), 28-30 September Florence, Italy 2015.
82. Nofar Dali, Bracha Shapira, Lior Rokach Please, Not Now!: A Model for Timing Recommendations, ACM RecSys 2015, 16-20 September Vienna, Austria 2015.
83. David Ben Shimon, Lior Rokach, Bracha Shapira, Guy Shani, Fast Item-Based Collaborative Filtering, Proceedings of the 7th International Conference on Agents and Artificial Intelligence (ICAART 2015),, 12 January, 2015, ISBN 978-989-758-074-1, pages 457-463.
84. Moran Baladev, Bracha Shpira, Lior Rokach, Recommender Systems for Product Bundling, ACM RecSys 2015 Poster and Demos.
85. David Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Bracha Shapira, Lior Rokach, Johannes Hoerle RecSys Challenge 2015 and the YOOCHOOSE Dataset., In Proceedings of the 9th ACM Conference on Recommender Systems (RecSys '15). ACM, New York, NY, USA, 357-358
86. Nadav Cohen, Adi Gerzi, David Ben-Shimon, Bracha Shapira, Lior Rokach, Michael Friedmann, In-House Solution for the RecSys Challenge 2015, In Proceedings of the 2015 International ACM Recommender Systems Challenge (RecSys '15 Challenge). ACM, New York, NY, USA, Article 10 , 4 pages.
87. Victor Makarenkov, Bracha Shapira, Lior Rokach, Theoretical Categorization of Query Performance Predictors, ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2015), September 27-30, 2015 Northampton, Massachusetts (USA), pp. 369-372.




2014




Journals articles



88. Lihi Naamani-Dery, Meir Kalech, Lior Rokach , Bracha Shapira, Reaching a Joint Decision with Minimal Elicitation of Voter Preferences. Information Sciences, Volume 278, 10 September 2014, Pages 466--487. (doi:10.1016/j.ins.2014.03.065)
89. Asaf Shabtai, Lena Tenenboim-Chekina, Dudu Mimran, Lior Rokach, Bracha Shapira, Yuval Elovici. Mobile Malware Detection through Analysis of Deviations in Application Network Behavior . Computers and SecurityVolume 43, June 2014, Pages 1--18. (doi:10.1016/j.cose.2014.02.009)
90. Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici, Novel Active Learning Methods for Enhanced PC Malware Detection in Windows OS. Expert Systems With Applications, Volume 41, Issue 13, 1 October 2014, Pages 5843--5857. (doi:10.1016/j.eswa.2014.02.053)
91. M. Dror, A. Shabtai, L. Rokach, and Y. Elovici. OCCT: A one-class clustering tree for implementing one-to-many data linkage. IEEE Transactions on Knowledge and Data Engineering, 26(3):682-697 (2014). (PDF) (doi:10.1109/TKDE.2013.23)
92. Maya Berkovich (Ilani), Asaf Shabtai, Lior Rokach, Yuval Elovici, Optimizing Data Misuse Detection, ACM Transactions on Knowledge Discovery from Data, Volume 8 Issue 3, Article No. 16, June 2014
93. Lior Rokach, Alon Schclar, Ehud Itach, Ensemble Methods for Multi-label Classification, Expert Systems With Applications Volume 41, Issue 16, 15 November 2014, Pages 7507--7523.
94. Gilad Katz, Asaf Shabtai, Lior Rokach , Nir Ofek, ConfDTree: A Statistical Method for Improving Decision Trees, Journal of Computer Science and Technology, Volume 29, Issue 3, pp 392-407, May 2014.
95. Ayelet Eyal, Lior Rokach , Meir Kalech, Ofra Amir, Rahul Chougule, Rajkumar Vaidyanathan, and Kallappa Pattada. Survival Analysis of Automobile Components using Mutually Exclusive Forests. IEEE Transactions bon Systems Man and Cybernetics: Systems, 44(2):246-253, 2014. (doi:10.1109/TSMC.2013.2248357)
96. Roee Anuar, Yossi Bukchin, Oded Maimon, Lior Rokach. Neighborhood Evaluation in Recommender Systems Using the Realization Based Entropy Approach. Int. J. of Business Analytics (IJBAN)1(4):34-51, 2014.



Conference proceedings



97. Gilad Katz, Anna Shtok, Oren Kurland, Bracha Shapira, Lior Rokach. Wikipedia-Based Query Performance Prediction, ACM SIGIR, pp. 1235-1238, 2014.
98. Eliahu Khalastchi, Meir Kalech, Lior Rokach. A Hybrid Approach for Fault Detection in Autonomous Physical Agents, the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS2014), pp. 941-948, 2014.
99. Nir Ofek, Lior Rokach, Prasenjit Mitra. Methodology for Connecting Nouns to their Modifying Adjectives, the 15th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2014), Lecture Notes in Business Information Processing, Springer , pp. 271-284, 2014.
100. Lihi Naamani-Dery, Meir Kalech, Inon Golan, Lior Rokach. Preference Elicitation for Group Decisions, The 14th Joint International Conference of the INFORMS GDN Section and the EURO Working Group on DSS (GDN 2014), Lecture Notes in Business Information Processing, Springer, pp. 193-200, 2014.
101. Nir Ofek, Lior Rokach, Unsupervised Fine-Grained Sentiment Analysis System Using Lexicons and Concepts, The 11th ESWC 2014, May 25th, 2014 to May 29th, 2014, Anissaras, Crete, Greece, pp 28-33.
102. Moshe Unger, Ariel Bar, Bracha Shapira, Lior Rokach, Ehud Gudes, Contexto: Lessons learned from mobile context inference, The 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2014), Sep. 13-17, Seattle, WA, USA.
103. Eliahu Khalastchi, Meir Kalech and Lior Rokach, Improving a Multiagent Team with a Model-Based Diagnosing Coach, 25th International Workshop on Principles of Diagnosis (DX 2014), September 8 - 11, 2014, Graz, Austria.
104. Soujanya Poria, Nir Ofek, Alexander Gelbukh, Amir Hussain, Lior Rokach, Dependency Tree-Based Rules for Concept-Level Aspect-Based Sentiment Analysis, The 11th ESWC 2014, May 25th, 2014 to May 29th, 2014, Anissaras, Crete, Greece. pp. 41-47, Best Performance Award in the Sentiment Analysis Challenge
105. Lihi Naamani, Meir Kalech, Lior Rokach, Bracha Shapira, Preference Elicitation for Narrowing the Recommended List for Groups, ACM RecSys 2014, Oct 6-10, 2014, Silicon Valley, USA.



Books



106. Lior Rokach and Oded Maimon, Data Mining with Decision Trees: Theory and Applications. Second Edition, Series in Machine Perception and Artificial Intelligence, 2014.
107. Haim Dahan, Shahar Cohen, Lior Rokach and Oded Maimon, Proactive Data Mining with Decision Trees. Springer, 2014.



Book chapters



108. Gilad Katz, Asaf Shabtai, Lior Rokach. Adapted Features and Instance Selection for Improving Co-Training, Interactive Knowledge Discovery and Data Mining: State-of-the-Art and Future Challenges in Biomedical Informatics, (Editors: Andreas Holzinger and Igor Jurisica), Lecture Notes in Computer Science (LNCS), pp. 81-100, 2014.




2013




Journals articles



109. Lena Chekina, Dan Gutfreund, Aryeh Kontorovich, Lior Rokach, and Bracha Shapira. Exploiting label dependencies for improved sample complexity. Machine Learning, 91(1):1--42, 2013. (PDF) (doi:10.1007/s10994-012-5312-9)
110. Kenneth Portier, Greta E. Greer, Lior Rokach, Nir Ofek, Yafei Wang, Prakhar Biyani, Mo Yu, Siddhartha Banerjee, Kang Zhao, Prasenjit Mitra, and John Yen. Understanding topics and sentiment in an online cancer survivor community. Journal of the National Cancer Institute, 2013(47): 195-198.
111. Yael Weiss, Yuval Elovici, and Lior Rokach. The cash algorithm-cost-sensitive attribute selection using histograms. Inf. Sci., 222:247--268, 2013. (PDF)
112. Bracha Shapira, Lior Rokach, and Shirley Freilikhman. Facebook single and cross domain data for recommendation systems. User Modeling and User-Adapted Interaction, 23(2-3):211--247, 2013. (PDF) (doi:10.1007/s11257-012-9128-x)
113. Michael Fire, Lena Tenenboim, Ofrit Lesser, Rami Puzis, Lior Rokach, and Yuval Elovici. Computationally efficient link prediction in variety of social networks. ACM Transactions on Intelligent Systems and Technology, Volume 5 Issue 1, December 2013. (doi:10.1145/2542182.2542192) /li>
114. L. Antwarg, T. Lavie, L. Rokach, B. Shapira, and J. Meyer. Highlighting items as means of adaptive assistance. Behaviour and Information Technology,32(8):761-777 (2013). (PDF) (doi:10.1080/0144929X.2011.650710)
115. Lior Rokach and Prasenjit Mitra. Parsimonious citer-based measures: The artificial intelligence domain as a case study. Journal of the American Society for Information Science and Technology,64(9):1951-1959, 2013. (doi:10.1002/asi.22887)
116. Slava Kisilevich, Daniel Keim, and Lior Rokach. A GIS-based decision support system for hotel room rate estimation and temporal price prediction: The hotel brokers' context. Decision Support Systems, 54(2):1119 -- 1133, 2013. (PDF) (doi:10.1016/j.dss.2012.10.038)
117. Guy Shani, Lior Rokach, Bracha Shapira, Sarit Hadash, and Moran Tangi. Investigating confidence displays for top-n recommendations. JASIST, 64(12): 2548-2563 (2013).
118. Yuval Elovici, Lior Rokach, and Sahin Albayrak. Guest editorial: Special issue on data mining for information security. Inf. Sci., 231:1--3, 2013. (PDF)



Conference proceedings



119. Lior Rokach, Meir Kalech, Gregory Provan, and Alexander Feldman. Machine learning based circuit synthesis. the Twenty-seventh International Joint Conference on Artificial Intelligence (IJCAI-13), Beijing 2013, pp. 1635-1641, 2013.(PDF)(More details)
120. Eitan Menahem, Lior Rokach, and Yuval Elovici. Combining one-class classifiers via meta learning. Proceedings of the 22nd ACM international Conference on Information and Knowledge Management, CIKM'13, pp.2435-2440 2013. (PDF)
121. Eliahu Khalastchi, Meir Kalech, and Lior Rokach. Sensor fault detection and diagnosis for autonomous systems. In The 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013), pages 15--22, 2013. (PDF)
122. Olga Peled, Michael Fire, Lior Rokach, and Yuval Elovici. Entity matching in online social networks. In Proceedings of the 5th IEEE Int'l Conference on Social Computing - SocialCom-13, Washington D.C., USA, September 8th-14th, pp. 339-344, 2013.
123. Alexander Ostrikov, Lior Rokach, and Bracha Shapira. Using geospatial metadata to boost collaborative filtering techniques. In Proceedings of the 2013 ACM Conference on Recommender Systems, RecSys'13, Hong Kong, October 12-16, 2013, 2013.
124. Ido Blank, Guy Shani, and Lior Rokach. Leveraging the citation network to recommend keywords. In Proceedings of the 2013 ACM Conference on Recommender Systems, RecSys'13, Hong Kong, October 12-16, 2013, 2013.
125. Lena Tenenboim-Chekina, Lior Rokach, and Bracha Shapira. Ensemble of feature chains for anomaly detection. In Zhi-Hua Zhou, Fabio Roli, and Josef Kittler, editors, Multiple Classifier Systems, volume 7872 of Lecture Notes in Computer Science, pages 295--306. Springer Berlin Heidelberg, 2013. (PDF) (doi:10.1007/978-3-642-38067-9_26)
126. Ariel Bar, Lior Rokach, Guy Shani, Bracha Shapira, and Alon Schclar. Improving simple collaborative filtering models using ensemble methods. In Zhi-Hua Zhou, Fabio Roli, and Josef Kittler, editors, Multiple Classifier Systems, volume 7872 of Lecture Notes in Computer Science, pages 1--12. Springer Berlin Heidelberg, 2013. (PDF) (doi:10.1007/978-3-642-38067-9_1)
127. Lior Rokach, Guy Shani, Bracha Shapira, Eyal Chapnik, and Gali Siboni. Recommending insurance riders. In Proceedings of the 28th Annual ACM Symposium on Applied Computing, ACM SAC'13, pages 253--260, 2013. (PDF)
128. Ofrit Lesser, Lena Tenenboim-Chekina, Lior Rokach, and Yuval Elovici. Intruder or welcome friend: Inferring group membership in online social networks. In ArielM. Greenberg, WilliamG. Kennedy, and NathanD. Bos, editors, Social Computing, Behavioral-Cultural Modeling and Prediction, volume 7812 of Lecture Notes in Computer Science, pages 368--376. Springer Berlin Heidelberg, 2013. (PDF) (doi:10.1007/978-3-642-37210-0_40)
129. Naseem Biadsy, Lior Rokach, and Armin Shmilovici. Transfer learning for content-based recommender systems using tree matching. In HCI-KDD at CD-ARES'13, volume 8127 of Lecture Notes in Computer Science, page 387--399. Springer Berlin Heidelberg, 2013. (PDF)
130. N. Ofek, C. Caragea, L. Rokach, P. Biyani, P. Mitra, J. Yen, K. Portier, and G. Greer. Improving sentiment analysis in an online cancer survivor community using dynamic sentiment lexicon. In Social Intelligence and Technology (SOCIETY), 2013 International Conference on, pages 109--113, 2013. (PDF) (doi:10.1109/SOCIETY.2013.20)
131. Asaf Shabtai, Eyal Kolman, Eran Ereli, Alex Vaystikh, Lior Rokach, and Yuval Elovici. Ip2user: Identifying the username of an ip address in network-related events. In The 2013 IEEE International Congress on Big Data, page 438--440, 2013. (PDF)
132. Nir Ofek, Sandor Daranyi, and Lior Rokach. Linking motif sequences to tale type families by machine learning. In Workshop on Computational Models of Narrative, 2013. (PDF)
133. Sagnik Ray Choudhury, Suppawong Tuarob, Prasenjit Mitra, Lior Rokach, and C. Lee Giles. Chemxseer figure search: A chemical literature figure search engine. In JCDL '13: 13th ACM/IEEE-CS Joint Conference on Digital Libraries Proceedings., 2013.
134. Lena Tenenboim-Chekina, Oren Barad, Asaf Shabtai, Dudu Mimran, Lior Rokach, Bracha Shapira, and Yuval Elovici. Detecting application update attack on mobile devices through network features. In INFOCOM, 2013. (PDF)



Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings



135. E. Khalastchi, M. Kalech, and L. Rokach. A hybrid approach for fault detection and diagnosis in autonomous systems. In 24th International Workshop on Principles of Diagnosis (DX 2013), 2013. (PDF)
136. Lior Rokach, Prasenjit Mitra, Saurabh Kataria, Wenyi Huang, and Lee Giles. A supervised learning method for context-aware citation recommendation in a large corpus. In The 10th Workshop on Large-Scale Distributed Systems for Information Retrieval, LSDS-IR 2013, Co-located with ACM WSDM 2013, 2013. (PDF)
137. Nir Ofek, Cornelia Caragea, Prakhar Biyani, John Yen, Lior Rokach, and Prasenjit Mitra. Improving sentiment analysis in an online cancer survivor community using dynamic sentiment lexicon. In First International Workshop on Public Health in the Digital Age: Social Media, Crowdsourcing and Participatory Systems, WWW, 2013., 2013.



Book chapters



138. M. Fire, G. Katz, L. Rokach, and Y. Elovici. Links reconstruction attack. Springer New York, 2013.



Techinal reports



139. Alon Schclar, Lior Rokach, and Amir Amit. Ensembles of classifiers based on dimensionality reduction. Technical report, 2013. (PDF)




2012




Journals articles



140. G. Tahan, L. Rokach, and Y. Shahar. Mal-id: Automatic malware detection using common segment analysis and meta-features. The Journal of Machine Learning Research, 13:949--979, 2012. (PDF)
141. Amir Harel, Asaf Shabtai, Lior Rokach, and Yuval Elovici. M-score: A misuseability weight measure. IEEE Trans. Dependable Sec. Comput., 9(3):414--428, 2012. (PDF) (doi:10.1109/TDSC.2012.17)
142. Erez Shmueli, Tamir Tassa, Raz Wasserstein, Bracha Shapira, and Lior Rokach. Limiting disclosure of sensitive data in sequential releases of databases. Inf. Sci., 191:98--127, 2012. (PDF)
143. Lior Rokach. Applying the publication power approach to artificial intelligence journals. JASIST, 63(6):1270--1277, 2012. (PDF)
144. Clint Feher, Yuval Elovici, Robert Moskovitch, Lior Rokach, and Alon Schclar. User identity verification via mouse dynamics. Inf. Sci., 201:19--36, 2012. (PDF) (doi:10.1016/j.ins.2012.02.066)
145. A. Schclar, L. Rokach, A. Abramson, and Y. Elovici. User authentication based on representative users. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 42(6):1669--1678, nov. 2012. (PDF) (doi:10.1109/TSMCC.2012.2215850)
146. Tal Svoray, Evgenia Michailov, Avraham Cohen, Lior Rokach, and Arnon Sturm. Predicting gully initiation: comparing data mining techniques, analytical hierarchy processes and the topographic threshold. Earth Surface Processes and Landforms, 37(6):607--619, 2012. (PDF) (doi:10.1002/esp.2273)
147. Nir Nissim, Robert Moskovitch, Lior Rokach, and Yuval Elovici. Detecting unknown computer worm activity via support vector machines and active learning. Pattern Anal. Appl., 15(4):459--475, 2012. (PDF)
148. L. Rokach and S. Kisilevich. Initial profile generation in recommender systems using pairwise comparison. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 42(6):1854--1859, nov. 2012. (PDF) (doi:10.1109/TSMCC.2012.2197679)
149. L. Rokach and D. Hutter. Automatic discovery of the root causes for quality drift in high dimensionality manufacturing processes. Journal of Intelligent Manufacturing, 23(5):1915--1930, 2012. (PDF) (doi:10.1007/s10845-011-0517-5)
150. Lior Rokach and Alon Schclar. k-anonymised reducts. IJGCRSIS, 2(3):196--210, 2012. (PDF)
151. Liat Antwarg, Lior Rokach, and Bracha Shapira. Attribute-driven hidden markov model trees for intention prediction. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 42(6):1103--1119, 2012. (PDF) (doi:10.1109/TSMCC.2012.2198212)



Conference proceedings



152. Orly Moreno, Bracha Shapira, Lior Rokach, and Guy Shani. Talmud: transfer learning for multiple domains. In 21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012, pages 425--434, 2012. (PDF)
153. Gilad Katz, Asaf Shabtai, Lior Rokach, and Nir Ofek. Confdtree: Improving decision trees using confidence intervals. In Data Mining (ICDM), 2012 IEEE 12th International Conference on, pages 339 --348, dec. 2012. (PDF) (doi:10.1109/ICDM.2012.19)
154. Wenyi Huang, Saurabh Kataria, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles, and Lior Rokach. Recommending citations: translating papers into references. In 21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012, pages 1910--1914, 2012.
155. Michael Fire, Gilad Katz, Yuval Elovici, Bracha Shapira, and Lior Rokach. Predicting student exams scores by analyzing social network data. In Active Media Technology - 8th International Conference, AMT 2012, Macau, China, December 4-7, 2012. Proceedings, pages 584--595, 2012. (PDF)
156. L. Chekina, L. Rokach, and B. Shapira. Introducing diversity among the models of multi-label classification ensemble. In European Symposium on Artificial Neural Networks, Computational Intelligence, pages 239--244, 2012. (PDF)
157. Alon Schclar, Lior Rokach, and Amir Amit. Diffusion ensemble classifiers. In IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5 - 7 October, 2012, pages 443--450, 2012.
158. AR Figueiras-Vidal and L. Rokach. An exploration of research directions in machine ensemble theory and applications. In European Symposium on Artificial Neural Networks, Computational Intelligence, pages 221--226, 2012.



Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings



159. Yehonatan Bitton, Michael Fire, Dima Kagan, Bracha Shapira, Lior Rokach, and Judit Bar-Ilan. Social network based search for experts. In Symposium on Human-Computer Interaction and Information Retrieval, 2012.
160. H. Dahan, O. Maimon, S. Cohen, and L. Rokach. Proactive data mining using decision trees. In Electrical & Electronics Engineers in Israel (IEEEI), 2012 IEEE 27th Convention of, pages 1--5. IEEE, 2012. (PDF) (doi:10.1109/EEEI.2012.6377048)
161. M. Fire, D. Kagan, R. Puzis, L. Rokach, and Y. Elovici. Data mining opportunities in geosocial networks for improving road safety. In Electrical & Electronics Engineers in Israel (IEEEI), 2012 IEEE 27th Convention of, pages 1--4. IEEE, 2012. (doi:10.1109/EEEI.2012.6377049)
162. L. Rokach, A. Feldman, M. Kalech, and G. Provan. Machine-learning-based circuit synthesis. In Electrical & Electronics Engineers in Israel (IEEEI), 2012 IEEE 27th Convention of, pages 1--5. IEEE, 2012. (doi:10.1109/EEEI.2012.6377134)



Books



163. Asaf Shabtai, Yuval Elovici, and Lior Rokach. A Survey of Data Leakage Detection and Prevention Solutions. Springer, 2012.



Book chapters.



164. Meira Levy, Lior Rokach, Bracha Shapira, Peretz Shoval Personalized Knowledge service Based on Smart Cell-phone Usage: A Conceptual Framework and Intention Prediction Algorithm. Knowledge Service Engineering Handbook (Editors: Jussi Kantola and Waldemar Karwowski), CRC Press, 2012, pp 307-324. (PDF) (More details)



Techinal reports



165. G. Katz, G. Shani, B. Shapira, and L. Rokach. Using wikipedia to boost svd recommender systems. Technical report, 2012.
166. Daniel Gordon, Danny Hendler, and Lior Rokach. Fast randomized model generation for shapelet-based time series classification. Technical report, 2012.
167. Lena Chekina, Duku Mimran, Lior Rokach, Yuval Elovici, and Bracha Shapira. Detection of deviations in mobile applications network behavior. Technical report, 2012.
168. Eitan Menahem, Alon Schclar, Lior Rokach, and Yuval Elovici. Securing your transactions: Detecting anomalous patterns in xml documents. Technical report, 2012.



Patents



169. E. Menahem, L. Rokach, and Y. Elovici. Stacking schema for classification tasks, aug# 14 2012. US Patent 8,244,652.
170. M. Friedmann, D. Ben-shimon, and L. Rokach. Method and system for recommending geo-tagged items, 2012. EP Patent 2,518,679.
171. C. Feher, R. Moskovitch, L. Rokach, and Y. Elovici. System for verifying user identity via mouse dynamics, 2012. EP Patent 2,490,149.
172. M. Friedmann, D. Ben-shimon, and L. Rokach. Method and system for recommending geo-tagged items, 2012. US Patent 20,120,303,626.




2011




Journals articles.



173. Lior Rokach, Meir Kalech, Ido Blank, and Rami Stern. Who is going to win the next association for the advancement of artificial intelligence fellowship award? evaluating researchers by mining bibliographic data. JASIST, 62(12):2456--2470, 2011. (PDF)



Conference proceedings



174. Michael Fire, Lena Tenenboim, Ofrit Lesser, Rami Puzis, Lior Rokach, and Yuval Elovici. Link prediction in social networks using computationally efficient topological features. In PASSAT/SocialCom 2011, Privacy, Security, Risk and Trust (PASSAT), 2011 IEEE Third International Conference on and 2011 IEEE Third International Confernece on Social Computing (SocialCom), Boston, MA, USA, 9-11 Oct., 2011, pages 73--80, 2011. (PDF) (doi:10.1109/PASSAT/SocialCom.2011.20)
175. Gilad Katz, Nir Ofek, Bracha Shapira, Lior Rokach, and Guy Shani. Using wikipedia to boost collaborative filtering techniques. In Proceedings of the 2011 ACM Conference on Recommender Systems, RecSys 2011, Chicago, IL, USA, October 23-27, 2011, pages 285--288, 2011. (PDF)
176. Aviram Dayan, Guy Katz, Naseem Biasdi, Lior Rokach, Bracha Shapira, Aykan Aydin, Roland Schwaiger, and Radmila Fishel. Recommenders benchmark framework. In Proceedings of the 2011 ACM Conference on Recommender Systems, RecSys 2011, Chicago, IL, USA, October 23-27, 2011, pages 353--354, 2011. (PDF)
177. Ori Ossmy, Ofir Tam, Rami Puzis, Lior Rokach, Ohad Inbar, and Yuval Elovici. Minddesktop - computer accessibility for severely handicapped. In ICEIS 2011 - Proceedings of the 13th International Conference on Enterprise Information Systems, Volume 4, Beijing, China, 8-11 June, 2011, pages 316--320, 2011. (PDF)
178. Ma'ayan Gafny, Asaf Shabtai, Lior Rokach, and Yuval Elovici. Applying unsupervised context-based analysis for detecting unauthorized data disclosure. In Proceedings of the 18th ACM Conference on Computer and Communications Security, CCS 2011, Chicago, Illinois, USA, October 17-21, 2011, pages 765--768, 2011.
179. Slava Kisilevich, Daniel A. Keim, Roman Byshko, Michael Tsibelman, and Lior Rokach. Developing a price management decision support system for hotel brokers using free and open source tools. In ICEIS 2011 - Proceedings of the 13th International Conference on Enterprise Information Systems, Volume 2, Beijing, China, 8-11 June, 2011, pages 147--156, 2011. (PDF)
180. Maya Bercovitch, Meir Renford, Lior Hasson, Asaf Shabtai, Lior Rokach, and Yuval Elovici. Honeygen: An automated honeytokens generator. In 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011, Beijing, China, 10-12 July, 2011, pages 131--136, 2011. (doi:10.1109/ISI.2011.5984063)
181. S. Kisilevich, D. Keim, Y. Palivatkel, and L. Rokach. Using multiplicative hybrid hedonic pricing model for improving revenue management in hotel business. In GeoVis 2011, 2011. (PDF)
182. Amir Harel, Asaf Shabtai, Lior Rokach, and Yuval Elovici. Dynamic sensitivity-based access control. In 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011, Beijing, China, 10-12 July, 2011, pages 201--203, 2011. (PDF) (doi:10.1109/ISI.2011.5984080)
183. Lena Chekina, Lior Rokach, and Bracha Shapira. Meta-learning for selecting a multi-label classification algorithm. In Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011, pages 220--227, 2011. (doi:10.1109/ICDMW.2011.118)
184. Lior Rokach, Karl-Heinz Luke, Aykan Aydin, and Roland Schwaiger. Recommenders benchmark framework. In 11th International Conference on Innovative Internet Community Services (I²CS 2011), June 15-17, 2011, Deutsche Telekom Laboratories, Berlin, Germany, pages 115--126, 2011.



Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings.



185. B. Keren, M. Kalech, and L. Rokach. Model-based diagnosis with multi-label classification. In 22nd International Workshop on Principles of Diagnosis, pages 241--248, 2011. (PDF)
186. E. Khalastchi, M. Kalech, and L. Rokach. Multi-layered model based diagnosis in robots. In 23rd International Workshop on Principles of Diagnosis (DX 2012), 2012. (PDF)
187. E. Khalastchi, M. Kalech, L. Rokach, Y. Shicel, and G. Bodek. Sensor fault detection and diagnosis for autonomous systems. In 23rd International Workshop on Principles of Diagnosis (DX 2012), 2012. (PDF)



Books



188. Francesco Ricci, Lior Rokach, Bracha Shapira, and Paul B. Kantor, editors. Recommender Systems Handbook. Springer, 2011.



Book chapters.



189. Slava Kisilevich, Daniel A. Keim, Amit Lasry, Leon Bam, and Lior Rokach. Developing analytical gis applications with geo-spade: Three success case studies. In J. Filipe and J. Cordeiro, editors, Enterprise Information Systems, volume 73 of Lecture Notes in Business Information Processing, pages 495--511. 2011.
190. Francesco Ricci, Lior Rokach, and Bracha Shapira. Introduction to recommender systems handbook. In Recommender Systems Handbook, pages 1--35. 2011.



Patents



191. G. Shani, L. Rokach, A. Meisels, and N. Piratla. Interactive hybrid recommender system, sep# 13 2011. US Patent 8,019,707.
192. B. Shapira, D. Mimran, J. Meyer, L. Rokach, S. Peretz, G. Glass, K. Henke, and L. Schneider. A system for detecting usability problems of users while using their mobile devices, sep# 28 2011. EP Patent 2,369,481.
193. A. Schclar, L. Rokach, B. Shapira, G. Glass, K. Jepsen, and K. Henke. System and method for the detection of usability problems in an interactive application, 2011. EP Patent 2,367,113.




2010




Journals articles



194. Slava Kisilevich, Lior Rokach, Yuval Elovici, and Bracha Shapira. Efficient multidimensional suppression for k-anonymity. IEEE Trans. Knowl. Data Eng., 22(3):334--347, 2010. (PDF) (doi:10.1109/TKDE.2009.91)
195. Nissim Matatov, Lior Rokach, and Oded Maimon. Privacy-preserving data mining: A feature set partitioning approach. Inf. Sci., 180(14):2696--2720, 2010. (PDF)
196. Lior Rokach. Ensemble-based classifiers. Artif. Intell. Rev., 33(1-2):1--39, 2010. (PDF)
197. Gil Tahan, Chanan Glezer, Yuval Elovici, and Lior Rokach. Auto-sign: an automatic signature generator for high-speed malware filtering devices. Journal in Computer Virology, 6(2):91--103, 2010. (PDF)



Conference proceedings



198. Tomer Shimshon, Robert Moskovitch, Lior Rokach, and Yuval Elovici. Continuous verification using keystroke dynamics. In 2010 International Conference on Computational Intelligence and Security, CIS 2010, Nanning, Guangxi Zhuang Autonomous Region, China, December 11-14, 2010, pages 411--415, 2010. (doi:10.1109/CIS.2010.95)
199. Yael Weiss, Yuval Fledel, Yuval Elovici, and Lior Rokach. Cost-sensitive detection of malicious applications in mobile devices. In Mobile Computing, Applications, and Services - Second International ICST Conference, MobiCASE 2010, Santa Clara, CA, USA, October 25-28, 2010, Revised Selected Papers, pages 382--395, 2010.
200. Lihi Naamani Dery, Meir Kalech, Lior Rokach, and Bracha Shapira. Iterative voting under uncertainty for group recommender systems. In Proceedings of the 2010 ACM Conference on Recommender Systems, RecSys 2010, Barcelona, Spain, September 26-30, 2010, pages 265--268, 2010. (PDF)
201. Slava Kisilevich, Daniel A. Keim, and Lior Rokach. Geo-spade - a generic google earth-based framework for analyzing and exploring spatio-temporal data. In ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 5, HCI, Funchal, Madeira, Portugal, June 8 - 12, 2010, pages 13--20, 2010.
202. Amir Harel, Asaf Shabtai, Lior Rokach, and Yuval Elovici. Eliciting domain expert misuseability conceptions. In Proceedings of the 6th International Conference on Knowledge Capture (K-CAP 2011), June 26-29, 2011, Banff, Alberta, Canada, pages 193--194, 2011.
203. Lior Rokach and Alon Schclar. k-anonymized reducts. In 2010 IEEE International Conference on Granular Computing, GrC 2010, San Jose, California, USA, 14-16 August 2010, pages 392--395, 2010. (PDF) (doi:10.1109/GrC.2010.162)
204. Slava Kisilevich, Daniel Keim, and Lior Rokach. A novel approach to mining travel sequences using collections of geotagged photos. In M. Painho, M. Y. Santos, and H. Pundt, editors, Geospatial Thinking, Lecture Notes in Geoinformation and Cartography, pages 163--182. Springer Berlin Heidelberg, 2010.
205. M. Gafny, A. Shabtai, L. Rokach, and Y. Elovici. Detecting data misuse by applying context-based data linkage. In Proceedings of the 2010 ACM workshop on Insider threats, pages 3--12. ACM, 2010.
206. Amir Gershman, Amnon Meisels, Karl-Heinz Luke, Lior Rokach, Alon Schclar, and Arnon Sturm. A decision tree based recommender system. In 10th International Conference on Innovative Internet Community Services (I²CS), Jubilee Edition 2010, June 3-5, 2010, Bangkok, Thailand, pages 170--179, 2010.
207. Talya Porat, Lihi Naamani-Dery, Lior Rokach, and Bracha Shapira. Interactive audience selection tool for distributing a mobile campaign. Proceedings of the IADIS Information Systems 2010 (IS 2010) Conference, Porto, Portugalpp. 362-366, 2010. (PDF) (More details)
208. A. Harel, A. Shabtai, L. Rokach, and Y. Elovici. M-score: estimating the potential damage of data leakage incident by assigning misuseability weight. In Proceedings of the 2010 ACM workshop on Insider threats, pages 13--20. ACM, 2010.



Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings



209. L. Baltrunas, M. Kaminskas, F. Ricci, L. Rokach, B. Shapira, and K.H. Luke. Best usage context prediction for music tracks. In Proceedings of the 2nd Workshop on Context Aware Recommender Systems, 2010. (PDF)
210. N.D. Marom, L. Rokach, and A. Shmilovici. Using the confusion matrix for improving ensemble classifiers. In 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel (IEEEI 2010), pages 000555--000559. IEEE, 2010. (doi:10.1109/EEEI.2010.5662159)
211. L.N. Dery, B. Shapira, and L. Rokach. Multicamp cost sensitive active learning algorithm for multiple parallel campaigns. In 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel (IEEEI 2010), pages 000982--000985. IEEE, 2010. (doi:10.1109/EEEI.2010.5661927)
212. P. Zilberman, A. Shabtai, and L. Rokach. Analyzing group communication for preventing accidental data leakage via email. 2010.
213. T. Shimshon, R. Moskovitch, L. Rokach, and Y. Elovici. Clustering di-graphs for continuously verifying users according to their typing patterns. In 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel (IEEEI), pages 000445--000449. IEEE, 2010. (doi:10.1109/EEEI.2010.5662182)
214. L. Tenenboim-Chekina, L. Rokach, and B. Shapira. Identification of label dependencies for multi-label classification. In Proceedings of the second International Workshop on Learning from Multi-Label data, pages 53--60, 2010.
215. L. Rokach and E. Itach. An ensemble method for multi-label classification using an approximation algorithm for the set covering problem. In Proceedings of the second International Workshop on Learning from Multi-Label data, page 37, 2010.



Books



216. L. Rokach. Pattern classification using ensemble methods, volume 75. World Scientific Publishing Company Incorporated, 2010.
217. Oded Maimon and Lior Rokach, editors. Data Mining and Knowledge Discovery Handbook, 2nd ed. Springer, 2010.



Book chapters.



218. Oded Maimon and Lior Rokach. Introduction to knowledge discovery and data mining. In Data Mining and Knowledge Discovery Handbook, 2nd ed, pages 1--15. 2010.
219. Lior Rokach. A survey of clustering algorithms. In Data Mining and Knowledge Discovery Handbook, 2nd ed, pages 269--298. 2010.
220. Lior Rokach. Using fuzzy logic in data mining. In Data Mining and Knowledge Discovery Handbook, 2nd ed, pages 505--520. 2010.
221. Lior Rokach. Ensemble methods in supervised learning. In Data Mining and Knowledge Discovery Handbook, 2nd ed, pages 959--979. 2010.
222. Lior Rokach and Oded Maimon. Supervised learning. In Data Mining and Knowledge Discovery Handbook, 2nd ed, pages 133--147. 2010.
223. Lior Rokach and Oded Maimon. Classification trees. In Data Mining and Knowledge Discovery Handbook, 2nd ed, pages 149--174. 2010.
224. Lior Rokach and Oded Maimon. Data mining using decomposition methods. In Data Mining and Knowledge Discovery Handbook, 2nd ed, pages 981--998. 2010.



Patents



225. L. Rokach, L. Antwarg, and B. Shapira. Next-step prediction system and method, aug# 25 2010. EP Patent 2,221,719.
226. S. Kisilevich, L. Rokach, Y. Elovici, and B. Shapira. Efficient multi-dimensional suppression for k-anonymity, 2010. EP Patent 2,228,735.




2009




Journals articles



227. Eitan Menahem, Lior Rokach, and Yuval Elovici. Troika - an improved stacking schema for classification tasks. Inf. Sci., 179(24):4097--4122, 2009. (PDF)
228. Lior Rokach. Collective-agreement-based pruning of ensembles. Computational Statistics & Data Analysis, 53(4):1015--1026, 2009. (PDF)
229. Lior Rokach, Lihi Naamani, and Armin Shmilovici. Active learning using pessimistic expectation estimators. Control and Cybernetics, 38(1):261--280, 2009. (PDF)
230. Lior Rokach. Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography. Computational Statistics & Data Analysis, 53(12):4046--4072, 2009. (PDF)
231. Eitan Menahem, Asaf Shabtai, Lior Rokach, and Yuval Elovici. Improving malware detection by applying multi-inducer ensemble. Computational Statistics & Data Analysis, 53(4):1483--1494, 2009. (PDF)



Conference proceedings



232. Alon Schclar, Alexander Tsikinovsky, Lior Rokach, Amnon Meisels, and Liat Antwarg. Ensemble methods for improving the performance of neighborhood-based collaborative filtering. In Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009, pages 261--264, 2009. (PDF)
233. Alon Schclar and Lior Rokach. Random projection ensemble classifiers. In Enterprise Information Systems, 11th International Conference, ICEIS 2009, Milan, Italy, May 6-10, 2009. Proceedings, pages 309--316, 2009. (PDF)
234. Robert Moskovitch, Clint Feher, Arik Messerman, Niklas Kirschnick, Tarik Mustafic, Seyit Ahmet Çamtepe, Bernhard Löhlein, Ulrich Heister, Sebastian Möller, Lior Rokach, and Yuval Elovici. Identity theft, computers and behavioral biometrics. In IEEE International Conference on Intelligence and Security Informatics, ISI 2009, Dallas, Texas, USA, June 8-11, 2009, Proceedings, pages 155--160, 2009. (PDF) (doi:10.1109/ISI.2009.5137288)



Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings



235. L. Tenenboim, L. Rokach, and B. Shapira. Multi-label classification by analyzing labels dependencies. In European conference on machine learning (ECML)/principles and practice of knowledge discovery in databases (PKDD)-1st international workshop on learning from multi-label data (MLD'2009), pages 117--131, 2009.
236. E. Itach, L. Tenenboim, and L. Rokach. An ensemble method for multi-label classification using a transportation model. In European conference on machine learning (ECML)/principles and practice of knowledge discovery in databases (PKDD)-1st international workshop on learning from multi-label data (MLD'2009), page 49, 2009.



Book chapters



237. Lior Rokach and Yuval Elovici. An overview of ids using anomaly detection. In Database Technologies: Concepts, Methodologies, Tools, and Applications, pages 384--394. 2009.
238. Lior Rokach. Incorporating fuzzy logic in data mining tasks. In Encyclopedia of Artificial Intelligence (3 Volumes), pages 884--891. 2009.
239. Barak Chizi, Lior Rokach, and Oded Maimon. A survey of feature selection techniques. In Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), pages 1888--1895. 2009.
240. Lior Rokach. Data mining for improving manufacturing processes. In Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), pages 417--423. 2009.



Patents



241. E. Menahem, L. Rokach, and Y. Elovici. An improved stacking schema for classification tasks, jul# 15 2009. EP Patent 2,079,040.




2008




Journals articles



242. Lior Rokach. Genetic algorithm-based feature set partitioning for classification problems. Pattern Recognition, 41(5):1676--1700, 2008. (PDF)
243. Lior Rokach, Lihi Naamani, and Armin Shmilovici. Pessimistic cost-sensitive active learning of decision trees for profit maximizing targeting campaigns. Data Min. Knowl. Discov., 17(2):283--316, 2008. (PDF)
244. Lior Rokach, Roni Romano, and Oded Maimon. Negation recognition in medical narrative reports. Inf. Retr., 11(6):499--538, 2008. (PDF)
245. Lior Rokach, Roni Romano, and Oded Maimon. Mining manufacturing databases to discover the effect of operation sequence on the product quality. Journal of Intelligent Manufacturing, 19(3), 2008. (PDF) (doi:10.1007/s10845-008-0084-6)
246. Robert Moskovitch, Yuval Elovici, and Lior Rokach. Detection of unknown computer worms based on behavioral classification of the host. Computational Statistics & Data Analysis, 52(9):4544--4566, 2008. (PDF)
247. Lior Rokach. An evolutionary algorithm for constructing a decision forest: Combining the classification of disjoints decision trees. Int. J. Intell. Syst., 23(4):455--482, 2008.
248. Lior Rokach. Mining manufacturing data using genetic algorithm-based feature set decomposition. IJISTA, 4(1/2):57--78, 2008. (PDF)



Conference proceedings



249. L. Sapir, A. Shmilovici, and L. Rokach. A methodology for the design of a fuzzy data warehouse. In 4th International IEEE Conference Intelligent Systems, 2008. IS'08., volume 1, pages 2--14. IEEE, 2008. (PDF) (doi:10.1109/IS.2008.4670400)
250. Lior Rokach, Amnon Meisels, and Alon Schclar. Anytime ahp method for preferences elicitation in stereotype-based recommender system. In ICEIS 2008 - Proceedings of the Tenth International Conference on Enterprise Information Systems, Volume AIDSS, Barcelona, Spain, June 12-16, 2008, pages 268--275, 2008. (PDF)
251. Slava Kisilevich, Yuval Elovici, Bracha Shapira, and Lior Rokach. kactus 2: Privacy preserving in classification tasks using k-anonymity. In Protecting Persons While Protecting the People, Second Annual Workshop on Information Privacy and National Security, ISIPS 2008, New Brunswick, NJ, USA, May 12, 2008. Revised Selected Papers, pages 63--81, 2008. (PDF)
252. A. Gershman, A. Grubshtein, A. Meisels, L. Rokach, and R. Zivan. Scheduling meetings by agents. In Proc. 7th International Conference on Practice and Theory of Automated Timetabling (PATAT 2008). Montreal (August 2008), 2008.



Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings



253. L. Naamani, L. Rokach, and A. Shmilovici. A logistic regression method for cost sensetive active learning. In IEEE 25th Convention of Electrical and Electronics Engineers in Israel, 2008 (IEEEI 2008), pages 707--710. IEEE, 2008. (doi:10.1109/EEEI.2008.4736625)



Books



254. L. Rokach and O.Z. Maimon. Data mining with decision trees: theory and applications, volume 69. World Scientific Pub Co Inc, 2008.
255. Oded Maimon and Lior Rokach, editors. Soft Computing for Knowledge Discovery and Data Mining. Springer, 2008.



Book chapters



256. Oded Maimon and Lior Rokach. Introduction to soft computing for knowledge discovery and data mining. In Soft Computing for Knowledge Discovery and Data Mining, pages 1--13. 2008.
257. Lior Rokach. The role of fuzzy sets in data mining. In Soft Computing for Knowledge Discovery and Data Mining, pages 187--203. 2008.



Patents



258. G. Shani, L. Rokach, A. Meisels, and N. Piratla. An interactive hybrid recommender system, apr# 2 2008. EP Patent 1,906,316.




2007




Journals articles



259. Shahar Cohen, Lior Rokach, and Oded Maimon. Decision-tree instance-space decomposition with grouped gain-ratio. Inf. Sci., 177(17):3592--3612, 2007. (PDF)
260. Lior Rokach, Barak Chizi, and Oded Maimon. A methodology for improving the performance of non-ranker feature selection filters. International Journal of Pattern Recognition and Artificial Intelligence, 21(5):809--830, 2007. (PDF)



Conference proceedings



261. David Ben-Shimon, Alexander Tsikinovsky, Lior Rokach, Amnon Meisels, Guy Shani, and Lihi Naamani. Recommender system from personal social networks. In Advances in Intelligent Web Mastering, Proceedings of the 5th Atlantic Web Intelligence Conference - AWIC 2007, Fontainebleau, France, June 25 - 27, 2007, pages 47--55, 2007.
262. Guy Shani, Lior Rokach, Amnon Meisels, Lihi Naamani, Nischal M. Piratla, and David Ben-Shimon. Establishing user profiles in the mediascout recommender system. In Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007, part of the IEEE Symposium Series on Computational Intelligence 2007, Honolulu, Hawaii, USA, 1-5 April 2007, pages 470--476, 2007. (doi:10.1109/CIDM.2007.368912)
263. Lior Rokach, Lihi Naamani, and Armin Shmilovici. Active learning using conditional expectation estimators. In Proceeding of the 3rd ADBIS workshop on Data Mining and Knowledge Discovery in ADMKD'2007 Conference. 2 October 2007, Varna, Bulgaria, pages 83--96, 2007.
264. O. Zakin, M. Levi, Y. Elovici, L. Rockach, N. Shafrir, G. Sinter, and O. Pen. Identifying computers hidden behind a nat using machine learning techniques. In The 6th European Conference on Information Warfare and Security, pages 335--340, 2007.



Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings



265. G. Shani, A. Meisles, Y. Gleyzer, L. Rokach, and D. Ben-Shimon. A stereotypes-based hybrid recommender system for media items. In AAAI Workshop on Intelligent Techniques for Web Personalization, Vancouver, pages 76--83. The AAAI Press, 2007.




2006




Journals articles



266. Reuven Arbel and Lior Rokach. Classifier evaluation under limited resources. Pattern Recognition Letters, 27(14):1619--1631, 2006. (PDF)
267. Lior Rokach, Oded Maimon, and Reuven Arbel. Selective voting -- getting more for less in sensor fusion. International Journal of Pattern Recognition and Artificial Intelligence, 20(3):329--350, 2006. (doi:10.1142/S0218001406004739)
268. L. Rokach and O. Maimon. Data mining for improving the quality of manufacturing: a feature set decomposition approach. Journal of Intelligent Manufacturing, 17(3):285--299, 2006. (PDF) (doi:10.1007/s10845-005-0005-x)
269. Lior Rokach. Decomposition methodology for classification tasks: a meta decomposer framework. Pattern Anal. Appl., 9(2-3):257--271, 2006.



Conference proceedings



270. Roni Romano, Lior Rokach, and Oded Maimon. Automatic discovery of regular expression patterns representing negated findings in medical narrative reports. In Next Generation Information Technologies and Systems, 6th International Workshop, NGITS 2006, Kibbutz Shefayim, Israel, July 4-6, 2006, Proceedings, pages 300--311, 2006.
271. Roni Romano, Lior Rokach, and Oded Maimon. Cascaded data mining methods for text understanding, with medical case study. In Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China, pages 458--462, 2006. (doi:10.1109/ICDMW.2006.38)
272. Lior Rokach, Roni Romano, and Oded Maimon. Automatic identification of negated concepts in narrative clinical reports. In ICEIS 2006 - Proceedings of the Eighth International Conference on Enterprise Information Systems: Databases and Information Systems Integration, Paphos, Cyprus, May 23-27, 2006, pages 257--262, 2006.
273. Shahar Cohen, Lior Rokach, and Oded Maimon. A decision-tree framework for instance-space decomposition. In Advances in Web Intelligence and Data Mining, pages 265--274. 2006.
274. Lior Rokach, Barak Chizi, and Oded Maimon. Feature selection by combining multiple methods. In Advances in Web Intelligence and Data Mining, pages 295--304. 2006.
275. Lior Rokach, Roni Romano, Barak Chizi, and Oded Maimon. A decision tree framework for semi-automatic extraction of product attributes from the web. In Advances in Web Intelligence and Data Mining, pages 201--210. 2006.




Publications up to 2005




Journals articles



276. Lior Rokach and Oded Maimon. Feature set decomposition for decision trees. Intell. Data Anal., 9(2):131--158, 2005.
277. Lior Rokach, Oded Maimon, and Omri Arad. Improving supervised learning by sample decomposition. International Journal of Computational Intelligence and Applications, 5(1):37--54, 2005.
278. Lior Rokach and Oded Maimon. Top-down induction of decision trees classifiers - a survey. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 35(4):476--487, 2005. (PDF) (doi:10.1109/TSMCC.2004.843247)
279. M. Averbuch, O. Maimon, L. Rokach, and E. Ezer. Free-text information retrieval system for a rapid enrollment of patients into clinical trials. Clinical Pharmacology & Therapeutics, 77(2), 2005.
280. O. Maimon and L. Rokach. Ensemble of decision trees for mining manufacturing data sets. Machine Engineering, 4(1-2), 2004.



Conference proceedings



281. Lior Rokach and Oded Maimon. Decomposition methodology for classification tasks. In 2005 IEEE International Conference on Granular Computing, Beijing, China, July 25-27, 2005, pages 636--641, 2005. (PDF) (doi:10.1109/GRC.2005.1547369)
282. M. Averbuch, T. Karson, B. Ben-Ami, O. Maimon, and L. Rokach. Context-sensitive medical information retrieval. In Medinfo 2004: proceedings of the 11th World Conference on Medical Informatics, volume 107, page 282. OCSL Press, 2004.
283. Lior Rokach, Oded Maimon, and Mordechai Averbuch. Information retrieval system for medical narrative reports. In Flexible Query Answering Systems, 6th International Conference, FQAS 2004, Lyon, France, June 24-26, 2004, Proceedings, pages 217--228, 2004.
284. Oded Maimon and Lior Rokach. Improving supervised learning by feature decomposition. In Foundations of Information and Knowledge Systems, Second International Symposium, FoIKS 2002 Salzau Castle, Germany, February 20-23, 2002, Proceedings, pages 178--196, 2002.
285. Lior Rokach and Oded Maimon. Theory and applications of attribute decomposition. In Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November - 2 December 2001, San Jose, California, USA, pages 473--480, 2001. (doi:10.1109/ICDM.2001.989554)
286. Lior Rokach, Oded Maimon, and Inbal Lavi. Space decomposition in data mining: A clustering approach. In Foundations of Intelligent Systems, 14th International Symposium, ISMIS 2003, Maebashi City, Japan, October 28-31, 2003, Proceedings, volume 2871 of Lecture Notes in Artificial Intelligence, pages 24--31, 2003.



Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings



287. O. Maimon, L. Rokach, and A. Okon. Efficiency frontier generation methods for classification problems in data mining. In the 13th Israeli Conference of Industrial Engineering and Management, 2004. (PDF)
288. O. Maimon, L. Rokach, and I. Lavi. Space decomposition in data mining-a clustering approach. In The 22nd Convention of Electrical and Electronics Engineers in Israel (IEEEI 2002), pages 101--104. IEEE, 2002. (doi:10.1109/EEEI.2002.1178345)



Books



289. Oded Maimon and Lior Rokach, editors. The Data Mining and Knowledge Discovery Handbook. Springer, 2005.
290. O. Maimon and L. Rokach. Decomposition Methodology for Knowledge Discovery and Data Mining. World Scientific Pub Co Inc, 2005.



Book chapters



291. G. Zeira, O. Maimon, M. Last, and L. Rokach. Change detection in classification models induced from time series data. In Data Mining in Time Series Databases, M. Last, A. Kandel, and H. Bunke (Editors), volume 57, pages 101--125. World Scientific Publishing Company Incorporated, 2004.
292. Oded Maimon and Lior Rokach. Introduction to knowledge discovery in databases. In The Data Mining and Knowledge Discovery Handbook, pages 1--17. 2005. (PDF)
293. Oded Maimon and Lior Rokach. Introduction to supervised methods. In The Data Mining and Knowledge Discovery Handbook, pages 149--164. 2005. (PDF)
294. Oded Maimon and Lior Rokach. Decomposition methodology for knowledge discovery and data mining. In The Data Mining and Knowledge Discovery Handbook, pages 981--1003. 2005. (PDF)
295. Lior Rokach. Ensemble methods for classifiers. In The Data Mining and Knowledge Discovery Handbook, pages 957--980. 2005. (PDF)
296. Lior Rokach and Oded Maimon. Decision trees. In The Data Mining and Knowledge Discovery Handbook, pages 165--192. 2005. (PDF)
297. Lior Rokach and Oded Maimon. Clustering methods. In The Data Mining and Knowledge Discovery Handbook, pages 321--352. 2005. (PDF)
298. Oded Maimon and Lior Rokach. Data mining by attribute decomposition with semiconductor manufacturing case study. In Dan Braha, editor, Data mining for design and manufacturing, pages 311--336. Kluwer Academic Publishers, Norwell, MA, USA, 2002.



PhD thesis



299. L. Rokach. Decomposition Methodology in Data Mining with Emphasis on Feature Set Decomposition Approach. PhD thesis, Tel Aviv University, 2004.



Patents



300. O. Maimon, E. Ezer, L. Rokach, and M. Averbuch. Medical data storage system and method, feb# 13 2003. US Patent App. 10/365,405.
301. Y. Harari, L. Rokach, Y.E. Klevansky, B.Z. Galili, and I. Tsenter. Method and system for enabling the exchange, management and supervision of leads and requests in a network, 2001. US Patent App. 09/801,560.