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First name:	Sholom M.
Last name:	Weiss
DBLP:	w/SholomMWeiss
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	Sholom M. Weiss, Nitin Indurkhya. Estimating Sales Opportunity Using Similarity-Based Methods.	Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II 2008	(0)	2008
	Fred Damerau, Tong Zhang, Sholom M. Weiss, Nitin Indurkhya. Text categorization for a comprehensive time-dependent benchmark.	Inf. Process. Manage. 2004, Volume 40	(0)	2004
	Sholom M. Weiss, Stephen J. Buckley, Shubir Kapoor, Søren Damgaard. Knowledge-based data mining.	Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003 2003	(0)	2003
	Chidanand Apté, Se June Hong, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Sholom M. Weiss. Data-intensive analytics for predictive modeling.	IBM Journal of Research and Development 2003, Volume 47	(0)	2003
	Sholom M. Weiss, Naval K. Verma. A system for real-time competitive market intelligence.	Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23-26, 2002, Edmonton, Alberta, Canada 2002	(0)	2002
	Fred Damerau, Tong Zhang, Sholom M. Weiss, Nitin Indurkhya. Experiments in high-dimensional text categorization.	SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, August 11-15, 2002, Tampere, Finland 2002	(0)	2002
	Ricardo Vilalta, Chidanand Apté, Joseph L. Hellerstein, Sheng Ma, Sholom M. Weiss. Predictive algorithms in the management of computer systems.	IBM Systems Journal 2002, Volume 41	(0)	2002
	Sholom M. Weiss, Chidanand Apté. Automated generation of model cases for help-desk applications.	IBM Systems Journal 2002, Volume 41	(0)	2002
	Nitin Indurkhya, Sholom M. Weiss. Solving regression problems with rule-based ensemble classifiers.	KDD 2001	(0)	2001
	Nitin Indurkhya, Sholom M. Weiss. Rule-Based Ensemble Solutions for Regression.	Machine Learning and Data Mining in Pattern Recognition, Second International Workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001, Proceedings 2001	(0)	2001
	Sholom M. Weiss, Nitin Indurkhya. Lightweight Collaborative Filtering Method for Binary-Encoded Data.	Principles of Data Mining and Knowledge Discovery, 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001, Proceedings 2001	(0)	2001
	Se June Hong, Sholom M. Weiss. Advances in predictive models for data mining.	Pattern Recognition Letters 2001, Volume 22	(0)	2001
	Ricardo Vilalta, Chidanand Apté, Sholom M. Weiss. Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection.	Services Management in Intelligent Networks, 11th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management, DSOM 2000, Aaustin, Texas, USA, December 4-6, 2000, Proceedings 2000	(0)	2000
	Sholom M. Weiss, Nitin Indurkhya. Lightweight Rule Induction.	Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Standord, CA, USA, June 29 - July 2, 2000 2000	(0)	2000
	Sholom M. Weiss, Brian F. White, Chidanand Apté. Leightweight Document Clustering.	Principles of Data Mining and Knowledge Discovery, 4th European Conference, PKDD 2000, Lyon, France, September 13-16, 2000, Proceedings 2000	(0)	2000
	Sholom M. Weiss, Nitin Indurkhya. Decision-Rule Solutions for Data Mining with Missing Values.	Advances in Artificial Intelligence, International Joint Conference, 7th Ibero-American Conference on AI, 15th Brazilian Symposium on AI, IBERAMIA-SBIA 2000, Atibaia, SP, Brazil, November 19-22, 2000, Proceedings 2000	(0)	2000
	Sholom M. Weiss, Brian F. White, Chidanand Apté, Fred Damerau. Lightweight Document Matching for Help-Desk Applications.	IEEE Intelligent Systems 2000, Volume 15	(0)	2000
	Se June Hong, Sholom M. Weiss. Advanced in Predictive Data Mining Methods.	Machine Learning and Data Mining in Pattern Recognition, First International Workshop, MLDM'99, Leipzig, Germany, September 16-18, 1999, Proceedings 1999	(0)	1999
	Nitin Indurkhya, Sholom M. Weiss. Estimating Performance Gains for Voted Decision Trees.	Intell. Data Anal. 1998, Volume 2	(0)	1998
	Sholom M. Weiss, Nitin Indurkhya. Selecting the Right-Size Model for Prediction.	Appl. Intell. 1996, Volume 6	(0)	1996
	Raguram Sasisekharan, V. Seshadri, Sholom M. Weiss. Data Mining and Forecasting in Large-Scale Telecommunication Networks.	IEEE Expert 1996, Volume 11	(0)	1996
	Nitin Indurkhya, Sholom M. Weiss. Using Case Data to Improve on Rule-based Function Approximation.	Case-Based Reasoning Research and Development, First International Conference, ICCBR-95, Sesimbra, Portugal, October 23-26, 1995, Proceedings 1995	(0)	1995
	V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss. Feature Extraction for Massive Data Mining.	KDD 1995	(0)	1995
	Sholom M. Weiss, Nitin Indurkhya. Rule-based Machine Learning Methods for Functional Prediction.	J. Artif. Intell. Res. (JAIR) 1995, Volume 3	(0)	1995
	Sholom M. Weiss, Nitin Indurkhya. Decision Tree Pruning: Biased or Optimal?	AAAI 1994	(0)	1994

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