Publications
Search

Publications :: Search

Show author

On this page you see the details of the selected author.

    Author information
    First name: Robert J.
    Last name: Hilderman
    DBLP: 87/4342
    Rating: (not rated yet)
    Bookmark:

    Below you find the publications which have been written by this author.

    Show item 1 to 37 of 37  
    Select a publication
    Show Title Venue Rating Date
    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
    Conference paper
    Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman.
    Temporal Generalization with Domain Generalization Graphs.
    IJPRAI 1999, Volume 13 (0) 1999
    Conference paper
    Robert J. Hilderman, Howard J. Hamilton, Nick Cercone.
    Data Mining in Large Databases Using Domain Generalization Graphs.
    J. Intell. Inf. Syst. 1999, Volume 13 (0) 1999
    Conference paper
    Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman.
    A Technique for Generalizing Temporal Durations in Relational Databases.
    Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, May 18-20, 1998, Sanibel Island, Florida, USA 1998 (0) 1998
    Conference paper
    Robert J. Hilderman, Colin L. Carter, Howard J. Hamilton, Nick Cercone.
    Mining Market Basket Data Using Share Measures and Characterized Itemsets.
    Research and Development in Knowledge Discovery and Data Mining, Second Pacific-Asia Conference, PAKDD-98, Melbourne, Australia, April 15-17, 1998, Proceedings 1998 (0) 1998
    Conference paper
    Howard J. Hamilton, Robert J. Hilderman, Liangchun Li, Dee Jay Randall.
    Generalization Lattices.
    Principles of Data Mining and Knowledge Discovery, Second European Symposium, PKDD '98, Nantes, France, September 23-26, 1998, Proceedings 1998 (0) 1998
    Conference paper
    Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman.
    Generalization for Calendar Attributes using Domain Generalization Graphs.
    TIME 1998 (0) 1998
    Conference paper
    Robert J. Hilderman, Howard J. Hamilton, Colin L. Carter, Nick Cercone.
    Mining Association Rules from Market Basket Data using Share Measures and Characterized Itemsets.
    International Journal on Artificial Intelligence Tools 1998, Volume 7 (0) 1998
    Conference paper
    Robert J. Hilderman, Liangchun Li, Howard J. Hamilton.
    Data Visualization in the DB-Discover System.
    ICTAI 1997 (0) 1997
    Conference paper
    Robert J. Hilderman, Howard J. Hamilton, Robert J. Kowalchuk, Nick Cercone.
    Parallel Knowledge Discovery Using Domain Generalization Graphs.
    Principles of Data Mining and Knowledge Discovery, First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997, Proceedings 1997 (0) 1997
    Conference paper
    Robert J. Hilderman, Howard J. Hamilton.
    A Note on Regeneration with Virtual Copies.
    IEEE Trans. Software Eng. 1997, Volume 23 (0) 1997
    Conference paper
    Howard J. Hamilton, Robert J. Hilderman, Nick Cercone.
    Attribute-oriented Induction Using Domain Generalization Graphs.
    ICTAI 1996 (0) 1996
    Conference paper
    Robert J. Hilderman, Howard J. Hamilton.
    Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm.
    SRDS 1995 (0) 1995
    Show item 1 to 37 of 37  

    Your query returned 37 matches in the database.