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First name:	Robert J.
Last name:	Hilderman
DBLP:	87/4342
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	Conference paper Mondelle Simeon, Robert J. Hilderman, Howard J. Hamilton. Mining Interesting Correlated Contrast Sets.	Research and Development in Intelligent Systems XXIX, Incorporating Applications and Innovations in Intelligent Systems XX: Proceedings of AI-2012, The Thirty-second SGAI International Conference on Innovative Techniques and Applications of Artificial Int 2012	(0)	2012
	Conference paper Mondelle Simeon, Robert J. Hilderman. COSINE: A Vertical Group Difference Approach to Contrast Set Mining.	Advances in Artificial Intelligence - 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, St. John's, Canada, May 25-27, 2011. Proceedings 2011	(0)	2011
	Conference paper Mondelle Simeon, Robert J. Hilderman. GENCCS: A Correlated Group Difference Approach to Contrast Set Mining.	Machine Learning and Data Mining in Pattern Recognition - 7th International Conference, MLDM 2011, New York, NY, USA, August 30 - September 3, 2011. Proceedings 2011	(0)	2011
	Conference paper Garrett Nicolai, Robert J. Hilderman. Algorithms for Evolving No-Limit Texas Hold'em Poker Playing Agents.	ICEC 2010 - Proceedings of the International Conference on Evolutionary Computation, [part of the International Joint Conference on Computational Intelligence IJCCI 2010], Valencia, Spain, October 24 - 26, 2010 2010	(0)	2010
	Conference paper Garrett Nicolai, Robert J. Hilderman. Countering Evolutionary Forgetting in No-Limit Texas Hold'em Poker Agents.		(0)	2010
	Conference paper Garrett Nicolai, Robert J. Hilderman. No-Limit Texas Hold'em Poker agents created with evolutionary neural networks.	Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, CIG 2009, Milano, Italy, 7-10 September, 2009 2009	(0)	2009
	Conference paper Mondelle Simeon, Robert J. Hilderman. An Empirical Study of Category Skew on Feature Selection for Text Categorization.	Advances in Artificial Intelligence, 22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009, Kelowna, Canada, May 25-27, 2009, Proceedings 2009	(0)	2009
	Conference paper Mondelle Simeon, Robert J. Hilderman. Categorical Proportional Difference: A Feature Selection Method for Text Categorization.	Data Mining and Analytics 2008, Proceedings of the Seventh Australasian Data Mining Conference (AusDM 2008). Glenelg/Adelaide, SA, Australia, 27-28 November 2008, Proceedings 2008	(0)	2008
	Conference paper Brien Beattie, Garrett Nicolai, David Gerhard, Robert J. Hilderman. Pattern Classification in No-Limit Poker: A Head-Start Evolutionary Approach.	Advances in Artificial Intelligence, 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Montreal, Canada, May 28-30, 2007, Proceedings 2007	(0)	2007
	Conference paper Mondelle Simeon, Robert J. Hilderman. Exploratory Quantitative Contrast Set Mining: A Discretization Approach.	19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), October 29-31, 2007, Patras, Greece, Volume 2 2007	(0)	2007
	Conference paper Timothy Maciag, Daryl H. Hepting, Dominik Slezak, Robert J. Hilderman. Mining Associations for Interface Design.	Rough Sets and Knowledge Technology, Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings 2007	(0)	2007
	Conference paper Timothy Maciag, Daryl H. Hepting, Robert J. Hilderman, Dominik Slezak. Evaluation of a Dominance-Based Rough Set Approach to Interface Design.	Frontiers in the Convergence of Bioscience and Information Technologies 2007, FBIT 2007, Jeju Island, Korea, October 11-13, 2007 2007	(0)	2007
	Book chapter Robert J. Hilderman, Terry Peckham. Statistical Methodologies for Mining Potentially Interesting Contrast Sets.	Quality Measures in Data Mining 2007, Volume 43	(0)	2007
	Conference paper Trevor N. Mansuy, Robert J. Hilderman. A Characterization of Wordnet Features in Boolean Models For Text Classification.	Data Mining and Analytics 2006, Proceedings of the Fifth Australasian Data Mining Conference (AusDM2006), Sydney, NSW, Australia, 29-30 November, 2006, Proceedings 2006	(0)	2006
	Conference paper Trevor N. Mansuy, Robert J. Hilderman. Evaluating WordNet Features in Text Classification Models.	Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, Melbourne Beach, Florida, USA, May 11-13, 2006 2006	(0)	2006
	Conference paper Trevor N. Mansuy, Robert J. Hilderman. FormFormatter: A Software Tool for Generating Mouse-Optional User Interfaces in Visual Basic Applications.	Proceedings of the 12th International Conference on Intelligent and Adaptive Systems and Software Engineering, July 9-11, 2003, San Francisco, CA, USA 2003	(0)	2003
	Conference paper Robert J. Hilderman. Predicting Itemset Sales Profiles with Share Measures and Repeat-Buying Theory.	Intelligent Data Engineering and Automated Learning, 4th International Conference, IDEAL 2003, Hong Kong, China, March 21-23, 2003, Revised Papers 2003	(0)	2003
	Conference paper Robert J. Hilderman, Howard J. Hamilton. Measuring the interestingness of discovered knowledge: A principled approach.	Intell. Data Anal. 2003, Volume 7	(0)	2003
	Conference paper Robert J. Hilderman. The Lorenz Dominance Order as a Measure of Interestingness in KDD.	Advances in Knowledge Discovery and Data Mining, 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002, Proceedings 2002	(0)	2002
	Conference paper Robert J. Hilderman, Howard J. Hamilton. Evaluation of Interestingness Measures for Ranking Discovered Knowledge.	Knowledge Discovery and Data Mining - PAKDD 2001, 5th Pacific-Asia Conference, Hong Kong, China, April 16-18, 2001, Proceedings 2001	(0)	2001
	Conference paper Robert J. Hilderman, Howard J. Hamilton. Principles for mining summaries using objective measures of interestingness.	12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 13-15 November 2000, Vancouver, BC, Canada 2000	(0)	2000
	Conference paper Robert J. Hilderman, Howard J. Hamilton. Applying Objective Interestingness Measures in Data Mining Systems.	Principles of Data Mining and Knowledge Discovery, 4th European Conference, PKDD 2000, Lyon, France, September 13-16, 2000, Proceedings 2000	(0)	2000
	Conference paper Robert J. Hilderman, Howard J. Hamilton, Brock Barber. Ranking the Interestingness of Summaries from Data Mining Systems.	Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, May 1-5, 1999, Orlando, Florida, USA 1999	(0)	1999
	Conference paper Robert J. Hilderman, Howard J. Hamilton. Heuristic for Ranking the Interestigness of Discovered Knowledge.	Methodologies for Knowledge Discovery and Data Mining, Third Pacific-Asia Conference, PAKDD-99, Beijing, China, April 26-28, 1999, Proceedings 1999	(0)	1999
	Conference paper Robert J. Hilderman, Howard J. Hamilton. Heuristic Measures of Interestingness.	Principles of Data Mining and Knowledge Discovery, Third European Conference, PKDD '99, Prague, Czech Republic, September 15-18, 1999, Proceedings 1999	(0)	1999

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Your query returned 37 matches in the database.