Dr. Lior Rokach

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

General Information	Research Interests
Publications	Courses

General Information

Senior Lecturer, Dept. of Information Systems Engineering

Ph.D., Tel-Aviv University, 2004.

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Courses

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Research Interests

Pattern Recognition
Data Mining
Recommender Systems
Information Extraction
Intelligent Manufacturing Systems
Medical Informatics

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Selected Publications

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 Buy it from Amazon/Search Inside
	*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 Buy it from Amazon/Search Inside
	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 Buy it from Amazon/Search Inside
	Soft Computing for Knowledge Discovery and Data Mining Oded Maimon and Lior Rokach (Eds.) Springer, 2007, 434 p., Hardcover ISBN: 0387699341 Buy it from Amazon/Search Inside

Journal Articles

S. Kisilevich, L. Rokach, Y. Elovici, B. Shapira, A Multi-Dimensional Suppression for K-Anonymity, IEEE Transactions on Knowledge and Data Engineering (to appear) PDF
L. Rokach, Taxonomy for Characterizing Ensemble Methods in Classification Tasks: a review and annotated bibliography, Computational Statistics and Data Analysis, (to appear). PDF
E. Menachem, L. Rokach, Y. Elovici, Troika - An Improved Stacking Schema for Classification Tasks Pattern Recognition, Information Science (to appear) PDF
G. Tahan, C. Glezer, Y. Elovici, L. Rokach, Auto-Sign: An Automatic Signature Generator for High-Speed Malware Filtering Devices, Computer Virology (to appear) PDF
L. Rokach, L. Naamani, A. Shmilovici, Active Learning Using Pessimistic Expectation Estimators, Control and Cybernetics, 38(1):261-280 (2009). PDF
L. Rokach (2009), Collective Agreement-based Pruning of Ensembles, Computational Statistics & Data Analysis, 53(4): 1015-1026 (2009) PDF
E. Menahem, A. Shabtai, L. Rokach, and Y. Elovici (2009), Improving Malware Detection by Applying Multi-Inducer Ensemble, Computational Statistics & Data Analysis. : 53(4) 1483-1494 (2009) PDF
L. Rokach (2008), Genetic Algorithm-Based Feature Set Partitioning for Classification Problems, Pattern Recognition, 41(5): 1693-1717 PDF
L. Rokach, L. Naamani, A. Shmilovici (2008), Pessimistic Cost-Sensitive Active Learning of Decision Trees, Data Mining and Knowledge Discovery, 17(2): 283-316, 2008. PDF
L. Rokach, R. Romano, O. Maimon (2008), Negation Recognition in Medical Narrative Reports, Information Retrieval, 11(6): 499-538, 2008 PDF
R. Moskovitch, Y. Elovici, L. Rokach (2008), Detection of Unknown Computer Worms based on Behavioral Classification of the Host, Computational Statistics and Data Analysis, 52(9):4544-4566 PDF
L. Rokach, R. Romano, O. Maimon, Mining Manufacturing Databases to Discover the Effect of Operation Sequence on the Product Quality, Journal of Intelligent Manufacturing, 19(3):313-325 PDF
L. Rokach (2008), Mining Manufacturing Data Using Genetic Algorithms, IJISTA 4(1-2):57–78. PDF
L. Rokach (2008), An Evolutionary Algorithm for Constructing a Decision Forest: Combining the Classification of Disjoints Decision Trees, International Journal of Intelligent Systems, 23(4):455-482
S. Cohen, L. Rokach, O. Maimon (2007), Decision Tree Instance Space Decomposition with Grouped Gain-Ratio, Information Science, 177(17):3592-3612. PDF
L. Rokach, B. Chizi, O. Maimon (2007), A Methodology for Improving the Performance of Non-ranker Feature Selection Filters, International Journal of Pattern Recognition and Artificial Intelligence, 21(5):809-830. PDF
L. Rokach (2006), "Decomposition Methodology for Classification Tasks – A Meta Decomposer Framework", Pattern Analysis & Applications, 9(2-3):257-271. PDF
R. Arbel, L. Rokach (2006), "Classifier Evaluation Under Limited Resources ", Pattern Recognition Letters, 27(14-15): 1619-1631. Link PDF
L. Rokach, R. Arbel, O. Maimon (2006), "Selective Voting - Getting More For Less in Sensor Fusion", International Journal of Pattern Recognition and Artificial Intelligence, 20(3):329-350. Link
L. Rokach and O. Maimon (2006), "Data mining for improving the quality of manufacturing: a feature set decomposition approach", Journal of Intelligent Manufacturing, 17(3):285-299. Link PDF
L. Rokach and O. Maimon (2005), "Feature Set Decomposition for Decision Trees", Journal of Intelligent Data Analysis, 9(2):131-158.Link
M. Averbuch, O. Maimon, L. Rokach, and E. Ezer (2005), "Free-Text Information Retrieval System for a Rapid Enrollment of Patients into Clinical Trials", Clinical Pharmacology and Therapeutics, 77(2): 13-14
L. Rokach and O. Maimon (2005), "Top Down Induction of Decision Trees Classifiers: A Survey", IEEE SMC Transactions Part C. 35(4): 476-487. Link PDF
L. Rokach, O. Maimon, O. Arad (2005), "Improving Supervised Learning by Sample Decomposition", International Journal on Computational Intelligence and Applications, Volume 5(1):37-54. Link
O. Maimon and L. Rokach (2004), "Ensemble of Decision Trees for Mining Manufacturing Data Sets", Machine Engineering, 4(1-2):32-57.

Book Chapters

B. Chizi, L. Rokach, O. Maimon, A Survey of Feature Selection Techniques, Encyclopedia of Data Warehousing and Mining - 2nd Edition (Editor: John Wang), Idea Group Reference, (Forthcoming, 2008).
L. Rokach, Data mining for improving manufacturing processes, Encyclopedia of Data Warehousing and Mining - 2nd Edition (Editor: John Wang), Idea Group Reference, (Forthcoming, 2008).
L. Rokach, Incorporating Fuzzy Logic in Data Mining Tasks, Encyclopaedia of AI (Editors: J. R. Rabunal, J. Dorado, A. Pazos), Idea Group Reference, (Forthcoming, 2008).
O. Maimon, L. Rokach (2007), Soft Computing for Knowledge Discovery and Data Mining: A Brief Introduction, Soft Computing for Knowledge Discovery and Data Mining (Editors: O. Maimon and L. Rokach), Springer, 2007.
L. Rokach (2007), The Role of Fuzzy Sets in Data Mining, Soft Computing for Knowledge Discovery and Data Mining (Editors: O. Maimon and L. Rokach), Springer, 2007.
L. Rokach, Y. Elovici (2007), Data Mining for Intrusion Detection, Cyber Warfare and Cyber Terrorism, (Editors: Lech J. Janczewski and Andrew M. Colarik), Idea Group Reference, pp. 327-337.
O. Maimon and L. Rokach (2005), "Introduction to Data Mining" in The Data Mining and Knowledge Discovery Handbook, (Editors: O. Maimon and L. Rokach), 2005, pp. 1-17. PDF
O. Maimon, L. Rokach (2005), "Decomposition Methodology in Data Mining" in The Data Mining and Knowledge Discovery Handbook, (Editors: O. Maimon and L. Rokach), 2005, pp. 981-1003. PDF
L. Rokach (2005), "Ensemble Methods" in The Data Mining and Knowledge Discovery Handbook, (Editors: O. Maimon and L. Rokach), 2005, pp. 957-980. PDF
L. Rokach and O. Maimon (2005), "Clustering Methods" in The Data Mining and Knowledge Discovery Handbook, (Editors: O. Maimon and L. Rokach), 2005, pp. 321-352. PDF
O. Maimon and L. Rokach (2005), "Introduction to Supervised Methods" in The Data Mining and Knowledge Discovery Handbook, (Editors: O. Maimon and L. Rokach), 2005, pp. 149-164. PDF
L. Rokach and O. Maimon (2005), "Decision Trees in Data Mining" in The Data Mining and Knowledge Discovery Handbook, (Editors: O. Maimon and L. Rokach), 2005, pp. 165-192. PDF
G. Zeira, O. Maimon, M. Last and L. Rokach (2004), "Change detection in classification models of data mining", in Data Mining in Time Series Databases. (Editors: Mark Last, Abraham Kandel, and Horst Bunke). World Scientific Publishing, 2004, pp. 119-149.
O. Maimon and L. Rokach (2001), "Data Mining by Attribute Decomposition with Semiconductors Manufacturing Case Study", in Data Mining for Design and Manufacturing: Methods and Applications (Editor: D. Braha), Kluwer Academic Publishers, 2001, pp 311-336.

Refereed Conference Proceedings

A. Schclar, L. Rokach, A. Meisels, A. Tsikinovsky, Ensemble Methods for Improving the Performance of Neighborhood-based Collaborative Filtering, Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009. PDF
E. Itach, L. Tenenboim, L. Rokach, An Ensemble Method for Multilabel Classification using Transportation model, Proceedings of the 1st International Workshop on Learning from Multi-Label Data (MLD’09), which will be held in Bled, Slovenia, at September 7, 2009 in conjunction with ECML/PKDD 2009, pp. 49-60.
L. Tenenboim, L. Rokach, B. Shapira, Multi-label Classification by Analyzing Labels Dependencies, Proceedings of the 1st International Workshop on Learning from Multi-Label Data (MLD’09), which will be held in Bled, Slovenia, at September 7, 2009 in conjunction with ECML/PKDD 2009, pp. 117-131.
Robert Moskovitch, Clint Feher, Arik Messerman, Niklas Kirschnick, Tarik Mustafia, Ahmet Camtepe, Bernhard Lahlein, Ulrich Heister, Sebastian Maller, Lior Rokach and Yuval Elovici. Identity Theft, Computers and Behavioral Biometrics, IEEE ISI 2009, Dallas, Texas, June 8-11, 2009, pp. 155—160. PDF
Alon Schclar, Lior Rokach, Random Projection Ensemble Classifiers, Lecture Notes in Business Information Processing, Enterprise Information Systems 11th International Conference Proceedings, ICEIS 2009, Milan, Italy, May 6-10, 2009. pp. 309-316 PDF
L. Naamani, L. Rokach, A. Shmilovici, A logistic regression method for cost sensetive active learning," IEEE 25th Convention of Electrical and Electronics Engineers in Israel (IEEEI 2008), pp.707-710, 3-5 Dec. 2008, Eilat Israel.
L. Sapir, A. Shmilovici, L. Rokach, A Methodology for the Design of a Fuzzy Data Warehouse, 2008 IEEE Conference on Intelligent Systems.Volume 1, 6-8 Sept. pp:2-14 - 2-21 PDF
S. Kisilevich, Y. Elovici, B. Shapira, L. Rokach, kACTUS 2: Privacy Preserving in Classification Tasks Using k-Anonymity, ISIPS 2008. Lecture Notes in Computer Science, Vol. 5661, Springer-Verlag PDF
L. Rokach, et al., Anytime AHP Method for Preferences Elicitation in Stereotype-Based Recommender System, 10th International Conference on Enterprise Information Systems, Barcelona, 2008, pp. 257-262. PDF
L. Rokach, L. Naamani, A. Shmilovici, Active Learning Using Conditional Expectation Estimators, 3rd ADBIS Workshop on Data Mining and Knowledge Discovery (ADMKD'2007), 2 October 2007, Varna, Bulgaria.
D. Ben-Shimon, A. Tsikinovsky, L. Rokach, A. Meisles, G. Shani, and L. Naamani, Recommender System from Personal Social Networks, 5th Atlantic Web Intelligence Conference, June, 2007.
O. Zakin, M. Levi, Y. Elovici, L. Rockach, N. Shafrir, G. Sinter, O. Pen, Identifying Computers Hidden Behind a NAT using Machine Learning Techniques, 6th European Conference on Information Warfare and Security, July, 2007.
G. Shani, L. Rokach, A. Meisles, Y. Gleizer, D. Ben-Shimon, A Stereotypes-Based Hybrid Recommender System for Media Items, AAAI2007 Workshop On Recommender Systems.
L. Rokach, G. Shani, A. Meisles, N. Piratla, L. Naamani, Establishing User Profiles in the MediaScout Recommender System, 2007 IEEE Symposium on Computational Intelligence and Data Mining. Hawaii, April 1-5, 2007. pp. 470-476
R. Romano, L. Rokach, and O. Maimon, "Cascaded Data Mining Methods for Text Understanding, with Medical Case Study", Foundations of Data Mining and Novel Techniques in High Dimensional Structural and Unstructured Data Workshop, Proceedings of the 2006 IEEE International Conference on Data Mining, IEEE Computer Society Press, 2006, Hong Kong, China, December, 2006.
R. Romano, L. Rokach, and O. Maimon, "Automatic Discovery of Regular Expression Patterns Representing Negated Findings in Medical Narrative Reports", 6th International Workshop on Next Generation Information Technologies and Systems July 4-6, 2006 Kibbutz Shefayim, Israel, Lecture Notes in Computer Science, Vol. 4032, pp. 300-311, Springer-Verlag, 2006.
L. Rokach, R. Romano, B. Chizi, O. Maimon, "A Decision Tree Framework for Automatic Extraction of Product Attributes from The Web", 4th Atlantic Web Intelligence Conference, Advances in Web Intelligence and Data Mining (Studies in Computational Intelligence), pp. 201-210, Springer 2006.
S. Cohen, L. Rokach, O. Maimon, "A Decision Tree Framework for Instance Space Decomposition", ATDM 2006, , Advances in Web Intelligence and Data Mining (Studies in Computational Intelligence), Springer, pp. 265-274, Springer 2006.
L. Rokach, B. Chizi, O. Maimon, "Feature Selection by Combining Multiple Methods", ATDM 2006, Advances in Web Intelligence and Data Mining (Studies in Computational Intelligence), Springer, pp. 295-304, Springer 2006.
L. Rokach, R. Romano and O. Maimon, "Automatic Identification of Negated Concepts in Narrative Clinical Reports", 8th International Conference on Enterprise Information Systems, Paphos, Cyprus, ICEIS (2) 2006: 257--262, 2006.
L. Rokach and O. Maimon, "Decomposition Methodology for Classification Tasks", Proceedings of the IEEE International Conference on Granular Computing, Beijing, July 2005, IEEE Computer Society Press, ISBN: 0-7803-9017-2, pp 636-641.
Y. Cohen, B. Bidanda, L. Rokach, A new technique for modeling and implementation of agent-based discrete industrial automation, The 15th International conference on flexible automation and manufacturing, Bilbao, Spain, July 2005.
M. Averbuch, O. Maimon, L. Rokach, and E. Ezer, "Free-Text Information Retrieval System for a Rapid Enrollment of Patients into Clinical Trials", Annual Meeting of the American Society for Clinical Pharmacology and Therapeutics (ASCPT), Florida, March 2005. (Abstract in Clinical Pharmacology and Therapeutics, V. 77, No. 2 2005).
M. Averbuch , T. Karson, B. Ben-Ami, O. Maimon and L. Rokach, "Context-Sensitive Medical Information Retrieval", Proc. of 11th World Congress on Medical Informatics (MEDINFO-2004), San Francisco, CA, September 2004, IOS Press, pp. 282-286.
O. Maimon, L. Rokach, M. Averbuch, E. Ezer, J. Kannry, "Information Extraction System for Medical Narrative Reports", Workshop on Intelligent Data Analysis in Medicine and Pharmacology, Stanford University, Palo Alto, CA, USA, September 6, 2004.
L. Rokach, Averbuch M., O. Maimon, "Information Retrieval System for Medical Narrative Reports", The 6th International Conference On Flexible Query Answering Systems, Lyon, France, Lecture Notes in Artificial intelligence 3055, pp. 217-228 Springer-Verlag, 2004.
O. Maimon and L. Rokach, "Data Mining for Improving Manufacturing's Quality: A feature set decomposition approach", Proceedings of the 9th International Conference on Manufacturing Excellence, Melbourne, October 2003.
L. Rokach, O. Maimon and I. Lavi, "Space Decomposition In Data Mining: A Clustering Approach", Proceedings of the 14th International Symposium On Methodologies For Intelligent Systems, Maebashi, Japan, Lecture Notes in Computer Science, Springer-Verlag, 2003, pp. 24 – 31.
O. Maimon and L. Rokach, "Improving supervised learning by feature decomposition", Proceedings of the Second International Symposium on Foundations of Information and Knowledge Systems, Lecture Notes in Computer Science, Springer-Verlag, pp. 178-196, 2002. PS
L. Rokach and O. Maimon, "Theory and Application of Attribute Decomposition", Proceedings of the First IEEE International Conference on Data Mining, IEEE Computer Society Press, 2001. pp 473-480. PS

Non-Refereed Conference Presentations

Amir Gershman, Alon Grubshtein, Amnon Meisels, Lior Rokach, Roie Zivan, Scheduling Meeting by Agents, The Israeli Association for Artificial Intelligence (IAAI), November 2008, at Ashkelon
A. Gershman, A. Grubshtein, L. Rokach and R. Zivan, Scheduling Meetings by Agents, Tenth International Workshop on Distributed Constraint Reasoning, May 13, 2008, Estoril, Portugal.
R. Romano, O. Maimon, L. Rokach, Mining Sequential Manufacturing Process, the Third Conference on Research in Industrial Engineering & Management, 2007
L. Rokach, R. Romano, O. Maimon, "Mining Manufacturing Databases for Revealing the Effect of Operations Sequence on the Quality", 21st European Conference on Operational Research (EURO XXI), Iceland, 2006.
R. Romano, L. Rokach, and O. Maimon, M. Averbuch, "Improving Information Retrieval of Patient Records Using Learning Methods", The Annual Conference of the Israel Association of Medical Information, 2006.
Rokach L., Maimon O., Romano R., "Machine Learning Framework for Automatic Identification of Negated Findings in Medical Narrative Reports", Proceedings of the 14th Israeli Conference of Industrial Engineering and Management, March 2006.
Rokach L., Chizi B., Maimon O., Ensemble Methodology for Improving Feature Selection Stability and Performance, Proceedings of the 14th Israeli Conference of Industrial Engineering and Management, March 2006.
L. Rokach and Y. Cohen, "Daily Newspaper Demand Planning from Unobserved Lost Sales", The Annual ORSIS (Operation Research Society of Israel) Conference, Caesarea, Israel, May 2005.
Y. Cohen, A. Sadeh, L. Rokach , A New Technique for a Two-Phase Truck Fleet Routing, The Annual ORSIS (Operation Research Society of Israel) Conference, Caesarea, Israel, May 2005.
L. Rokach and O. Maimon, "Data mining for improving the quality of manufacturing ", Proceedings of the 13th Israeli Conference of Industrial Engineering and Management, March 2004
L. Rokach, O. Maimon, Omri Arad, "Improving Supervised Learning by Sample Decomposition", Proceedings of the 13th Israeli Conference of Industrial Engineering and Management, March 2004.
O. Maimon, L. Rokach , Ilan Edel, "Parameter Tuning for Classification Algorithms in Data Mining Using Meta Learning", Proceedings of the 13th Israeli Conference of Industrial Engineering and Management, March 2004.
O. Maimon, L. Rokach , Anat Okon, "Efficiency Frontier Generation Methods for Classification Problems in Data Mining". Proceedings of the 13th Israeli Conference of Industrial Engineering and Management, March 2004.
O. Maimon, L. Rokach, Yaron Naveh and Mordechai Averbuch, "Clinical Datamart", The Annual Conference of the Israel Association of Medical Information, 2003.
L. Rokach and O. Maimon, "New Generalized Entropy Measure for Characterizing Databases", The First Conference on Research in Industrial Engineering & Management, 2003.
O. Maimon, L. Rokach and Inbal Lavi, "Space decomposition in Data Mining – a clustering approach", Proceedings of the 22th Convention of the IEEE Israel Section, 2002.
B. Chizi, L. Rokach and O. Maimon, "Mining for effectiveness of marketing campaign's", Proceedings of the 12th Israeli Conference of Industrial Engineering and Management, March 2002.
L. Rokach and O. Maimon, "Decomposition Methods in Data Mining", The Annual ORSIS (Operation Research Society of Israel) Conference, Shfeim, Israel, May 2002.
L. Rokach and O. Maimon, "Introduction to Decomposition Methodology in Classification Models", Haifa Winter Workshop on Computer Science and Statistics, CsStat 2001.
L. Rokach and Miryam Barad. Response Surface Methodology To Optimize Parameters of Genetic Algorithms. Proceedings of the 11th Industrial Engineering Conference, 2000.

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