[Lior Rokach photo]

Prof. Lior Rokach

                                                 


μιΰεψ ψεχη
Department of Information Systems Engineering
Faculty of Engineering Sciences
Ben-Gurion University of the Negev
P.O.B. 653, Beer-Sheva, Israel 84105.
Building No. 93 , Room No. 6 +972-8-6479338
Email: liorrk@bgu.ac.il +972-8-6477527

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Biosketch  Research Interests
Publications Courses
Talks\Tutorials My Proudest Accomplishments
 


Biosketch

Lior Rokach is an Associate Professor of Information Systems and Software Engineering at Ben-Gurion University of the Negev. Dr. Rokach is a recognized expert in intelligent information systems and has held several leading positions in this field. His main areas of interest are Machine Learning, Information Security, Recommender Systems and Information Retrieval. more ...



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Selected Publications

Additional Information:  Google Scholar   DBLP Bibliography   LinkedIn 

Books


Data Mining with Decision Trees: Theory and Applications
Lior Rokach and Oded Maimon
Series in Machine Perception and Artificial Intelligence - Vol. 61
World Scientific Publishing, 2007, 270 p, Hardcover, ISBN:981-2771-719

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A Survey of Data Leakage Detection and Prevention Solutions
Asaf Shabtai, Yuval Elovici, Lior Rokach
SpringerBriefs in Computer Science
Springer, 2012, Hardcover, ISBN:978-1-4614-2052-1

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Pattern Classification Using Ensemble Methods
Lior Rokach
Series in Machine Perception and Artificial Intelligence - Vol. 75
World Scientific Publishing, 2010, 225 p, Hardcover, ISBN:981-4271-063

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Recommender Systems Handbook
Recommender Systems Handbook
Francesco Ricci, Lior Rokach, Bracha Shapira, Paul B. Kantor (Eds.)
Springer, 2010, 871 p. Hardcover ISBN: 0387858199

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Handbook of Data Mining and Knowledge Discovery In Databases
The Data Mining and Knowledge Discovery Handbook
A Complete Guide for Practitioners and Researchers
Oded Maimon and Lior Rokach (Eds.)
Springer, 2005, XXXVI, 1383 p. 400 illus., Hardcover ISBN: 0-387-24435-2

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Handbook of Data Mining and Knowledge Discovery In Databases
The Data Mining and Knowledge Discovery Handbook - Second Edition
A Complete Guide for Practitioners and Researchers
Oded Maimon and Lior Rokach (Eds.)
Springer, 2010, 1305 p., Hardcover ISBN: 0387098224

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Decomposition Methodology for Knowledge Discovery and Data Mining:
Theory and Applications

Oded Maimon and Lior Rokach
Series in Machine Perception and Artificial Intelligence - Vol. 61
World Scientific Publishing, 2005, 323 p, Hardcover, ISBN:981-256-079-3

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Soft Computing for Knowledge Discovery and Data Mining
Oded Maimon and Lior Rokach (Eds.)
Springer, 2007, 434 p., Hardcover ISBN: 0387699341

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Show All

    2014

    Journals articles

  1. Lihi Naamani-Dery, Meir Kalech, Lior Rokach , Bracha Shapira, Reaching a Joint Decision with Minimal Elicitation of Voter Preferences. Information Sciences, In press. (doi:10.1016/j.ins.2014.03.065)
  2. 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)
  3. Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici, Novel Active Learning Methods for Enhanced PC Malware Detection in Windows OS. Expert Systems With Applications, In press. (doi:10.1016/j.eswa.2014.02.053)
  4. 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)
  5. 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, 2014.
  6. Maya Berkovich (Ilani), Asaf Shabtai, Lior Rokach, Yuval Elovici, Optimizing Data Misuse Detection, ACM Transactions on Knowledge Discovery from Data, 2014.
  7. Gilad Katz, Asaf Shabtai, Lior Rokach , Nir Ofek, ConfDTree: Statistical Methods for Improving Decision Trees, Journal of Computer Science and Technology, 2014.
  8. 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)
  9. 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), 2014.
  10. Conference proceedings

  11. Gilad Katz, Anna Shtok, Oren Kurland, Bracha Shapira, Lior Rokach. Wikipedia-Based Query Performance Prediction, ACM SIGIR, 2014.
  12. 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), 2014.
  13. Nir Ofek, Meir Kalech, 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 , 2014.
  14. 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, 2014.
  15. Books

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

  19. 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), 2014.
  20. 2013

    Journals articles

  21. 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)
  22. 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.
  23. Yael Weiss, Yuval Elovici, and Lior Rokach. The cash algorithm-cost-sensitive attribute selection using histograms. Inf. Sci., 222:247–268, 2013. (PDF)
  24. 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)
  25. 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)
  26. 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)
  27. Guy Shani, Lior Rokach, Bracha Shapira, Sarit Hadash, and Moran Tangi. Investigating confidence displays for top-n recommendations. JASIST, 64(12): 2548-2563 (2013).
  28. Yuval Elovici, Lior Rokach, and Sahin Albayrak. Guest editorial: Special issue on data mining for information security. Inf. Sci., 231:1–3, 2013. (PDF)
  29. Conference proceedings

  30. 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)
  31. 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)
  32. 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)
  33. 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.
  34. 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.
  35. 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)
  36. 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)
  37. 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)
  38. 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)
  39. 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)
  40. 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)
  41. 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)
  42. 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.
  43. 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)
  44. Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings

  45. 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)
  46. 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)
  47. 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.
  48. Book chapters

    Techinal reports

  49. Alon Schclar, Lior Rokach, and Amir Amit. Ensembles of classifiers based on dimensionality reduction. Technical report, 2013. (PDF)
  50. 2012

    Journals articles

  51. 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)
  52. 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)
  53. 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)
  54. Lior Rokach. Applying the publication power approach to artificial intelligence journals. JASIST, 63(6):1270–1277, 2012. (PDF)
  55. 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)
  56. 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)
  57. 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)
  58. 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)
  59. 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)
  60. 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)
  61. Lior Rokach and Alon Schclar. k-anonymised reducts. IJGCRSIS, 2(3):196–210, 2012. (PDF)
  62. 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)
  63. Conference proceedings

  64. 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)
  65. 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)
  66. 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.
  67. 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)
  68. 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.
  69. 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.
  70. Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings

  71. 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.
  72. 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)
  73. 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)
  74. Books

  75. Asaf Shabtai, Yuval Elovici, and Lior Rokach. A Survey of Data Leakage Detection and Prevention Solutions. Springer, 2012.
  76. Book chapters.

  77. 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)
  78. Techinal reports

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

  84. E. Menahem, L. Rokach, and Y. Elovici. Stacking schema for classification tasks, aug# 14 2012. US Patent 8,244,652.
  85. M. Friedmann, D. Ben-shimon, and L. Rokach. Method and system for recommending geo-tagged items, 2012. EP Patent 2,518,679.
  86. C. Feher, R. Moskovitch, L. Rokach, and Y. Elovici. System for verifying user identity via mouse dynamics, 2012. EP Patent 2,490,149.
  87. M. Friedmann, D. Ben-shimon, and L. Rokach. Method and system for recommending geo-tagged items, 2012. US Patent 20,120,303,626.
  88. 2011

    Journals articles.

  89. 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)
  90. Conference proceedings

  91. 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)
  92. 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)
  93. 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)
  94. 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.
  95. 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)
  96. 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)
  97. 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)
  98. 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)
  99. 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)
  100. 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.
  101. Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings.

  102. 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)
  103. 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)
  104. 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)
  105. Books

  106. Francesco Ricci, Lior Rokach, Bracha Shapira, and Paul B. Kantor, editors. Recommender Systems Handbook. Springer, 2011.
  107. Book chapters.

  108. 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.
  109. Francesco Ricci, Lior Rokach, and Bracha Shapira. Introduction to recommender systems handbook. In Recommender Systems Handbook, pages 1–35. 2011.
  110. Patents

  111. G. Shani, L. Rokach, A. Meisels, and N. Piratla. Interactive hybrid recommender system, sep# 13 2011. US Patent 8,019,707.
  112. 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.
  113. 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.
  114. 2010

    Journals articles

  115. 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)
  116. Nissim Matatov, Lior Rokach, and Oded Maimon. Privacy-preserving data mining: A feature set partitioning approach. Inf. Sci., 180(14):2696–2720, 2010. (PDF)
  117. Lior Rokach. Ensemble-based classifiers. Artif. Intell. Rev., 33(1-2):1–39, 2010. (PDF)
  118. 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)
  119. Conference proceedings

  120. 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)
  121. 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.
  122. 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)
  123. 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.
  124. 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.
  125. 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)
  126. 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.
  127. 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.
  128. 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.
  129. 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)
  130. 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.
  131. Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings

  132. 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)
  133. 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)
  134. 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)
  135. P. Zilberman, A. Shabtai, and L. Rokach. Analyzing group communication for preventing accidental data leakage via email. 2010.
  136. 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)
  137. 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.
  138. 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.
  139. Books

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

  143. 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.
  144. Lior Rokach. A survey of clustering algorithms. In Data Mining and Knowledge Discovery Handbook, 2nd ed, pages 269–298. 2010.
  145. Lior Rokach. Using fuzzy logic in data mining. In Data Mining and Knowledge Discovery Handbook, 2nd ed, pages 505–520. 2010.
  146. Lior Rokach. Ensemble methods in supervised learning. In Data Mining and Knowledge Discovery Handbook, 2nd ed, pages 959–979. 2010.
  147. Lior Rokach and Oded Maimon. Supervised learning. In Data Mining and Knowledge Discovery Handbook, 2nd ed, pages 133–147. 2010.
  148. Lior Rokach and Oded Maimon. Classification trees. In Data Mining and Knowledge Discovery Handbook, 2nd ed, pages 149–174. 2010.
  149. Lior Rokach and Oded Maimon. Data mining using decomposition methods. In Data Mining and Knowledge Discovery Handbook, 2nd ed, pages 981–998. 2010.
  150. Patents

  151. L. Rokach, L. Antwarg, and B. Shapira. Next-step prediction system and method, aug# 25 2010. EP Patent 2,221,719.
  152. S. Kisilevich, L. Rokach, Y. Elovici, and B. Shapira. Efficient multi-dimensional suppression for k-anonymity, 2010. EP Patent 2,228,735.
  153. 2009

    Journals articles

  154. Eitan Menahem, Lior Rokach, and Yuval Elovici. Troika - an improved stacking schema for classification tasks. Inf. Sci., 179(24):4097–4122, 2009. (PDF)
  155. Lior Rokach. Collective-agreement-based pruning of ensembles. Computational Statistics & Data Analysis, 53(4):1015–1026, 2009. (PDF)
  156. Lior Rokach, Lihi Naamani, and Armin Shmilovici. Active learning using pessimistic expectation estimators. Control and Cybernetics, 38(1):261–280, 2009. (PDF)
  157. 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)
  158. 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)
  159. Conference proceedings

  160. 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)
  161. 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)
  162. 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)
  163. Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings

  164. 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.
  165. 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.
  166. Book chapters

  167. Lior Rokach and Yuval Elovici. An overview of ids using anomaly detection. In Database Technologies: Concepts, Methodologies, Tools, and Applications, pages 384–394. 2009.
  168. Lior Rokach. Incorporating fuzzy logic in data mining tasks. In Encyclopedia of Artificial Intelligence (3 Volumes), pages 884–891. 2009.
  169. 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.
  170. Lior Rokach. Data mining for improving manufacturing processes. In Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), pages 417–423. 2009.
  171. Patents

  172. E. Menahem, L. Rokach, and Y. Elovici. An improved stacking schema for classification tasks, jul# 15 2009. EP Patent 2,079,040.
  173. 2008

    Journals articles

  174. Lior Rokach. Genetic algorithm-based feature set partitioning for classification problems. Pattern Recognition, 41(5):1676–1700, 2008. (PDF)
  175. 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)
  176. Lior Rokach, Roni Romano, and Oded Maimon. Negation recognition in medical narrative reports. Inf. Retr., 11(6):499–538, 2008. (PDF)
  177. 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)
  178. 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)
  179. 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.
  180. Lior Rokach. Mining manufacturing data using genetic algorithm-based feature set decomposition. IJISTA, 4(1/2):57–78, 2008. (PDF)
  181. Conference proceedings

  182. 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)
  183. 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)
  184. 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)
  185. 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.
  186. Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings

  187. 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)
  188. Books

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

  192. 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.
  193. Lior Rokach. The role of fuzzy sets in data mining. In Soft Computing for Knowledge Discovery and Data Mining, pages 187–203. 2008.
  194. Patents

  195. G. Shani, L. Rokach, A. Meisels, and N. Piratla. An interactive hybrid recommender system, apr# 2 2008. EP Patent 1,906,316.
  196. 2007

    Journals articles

  197. Shahar Cohen, Lior Rokach, and Oded Maimon. Decision-tree instance-space decomposition with grouped gain-ratio. Inf. Sci., 177(17):3592–3612, 2007. (PDF)
  198. 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)
  199. Conference proceedings

  200. 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)
  201. 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.
  202. 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.
  203. Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings

  204. 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.
  205. 2006

    Journals articles

  206. Reuven Arbel and Lior Rokach. Classifier evaluation under limited resources. Pattern Recognition Letters, 27(14):1619–1631, 2006. (PDF)
  207. 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)
  208. 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)
  209. Lior Rokach. Decomposition methodology for classification tasks: a meta decomposer framework. Pattern Anal. Appl., 9(2-3):257–271, 2006.
  210. Conference proceedings

  211. 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.
  212. 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)
  213. 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.
  214. 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.
  215. 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.
  216. 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.
  217. Publications up to 2005

    Journals articles

  218. Lior Rokach and Oded Maimon. Feature set decomposition for decision trees. Intell. Data Anal., 9(2):131–158, 2005.
  219. 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.
  220. 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)
  221. 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.
  222. O. Maimon and L. Rokach. Ensemble of decision trees for mining manufacturing data sets. Machine Engineering, 4(1-2), 2004.
  223. Conference proceedings

  224. 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)
  225. 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.
  226. 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.
  227. 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.
  228. 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)
  229. 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.
  230. Non-archival scientific meetings (workshops etc.) and domestic conferences proceedings

  231. 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)
  232. 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)
  233. Books

  234. Oded Maimon and Lior Rokach, editors. The Data Mining and Knowledge Discovery Handbook. Springer, 2005.
  235. O. Maimon and L. Rokach. Decomposition Methodology for Knowledge Discovery and Data Mining. World Scientific Pub Co Inc, 2005.
  236. Book chapters

  237. 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.
  238. Oded Maimon and Lior Rokach. Introduction to knowledge discovery in databases. In The Data Mining and Knowledge Discovery Handbook, pages 1–17. 2005. (PDF)
  239. Oded Maimon and Lior Rokach. Introduction to supervised methods. In The Data Mining and Knowledge Discovery Handbook, pages 149–164. 2005. (PDF)
  240. 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)
  241. Lior Rokach. Ensemble methods for classifiers. In The Data Mining and Knowledge Discovery Handbook, pages 957–980. 2005. (PDF)
  242. Lior Rokach and Oded Maimon. Decision trees. In The Data Mining and Knowledge Discovery Handbook, pages 165–192. 2005. (PDF)
  243. Lior Rokach and Oded Maimon. Clustering methods. In The Data Mining and Knowledge Discovery Handbook, pages 321–352. 2005. (PDF)
  244. 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.
  245. PhD thesis

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

  248. O. Maimon, E. Ezer, L. Rokach, and M. Averbuch. Medical data storage system and method, feb# 13 2003. US Patent App. 10/365,405.
  249. 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.

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