Robert J. Hilderman

Publication Activity (10 Years)

Years Active: 1995-2016
Publications (10 Years): 2

Top Topics

Missing Data Imputation

Lexical Resources

Top Venues

Discovery Science

Int. J. Bus. Intell. Data Min.

Publications

Credell Simeon, Howard J. Hamilton, Robert J. Hilderman
Word Segmentation Algorithms with Lexical Resources for Hashtag Classification. DSAA (2016)
Obaid Ullah Malik, Robert J. Hilderman, Howard J. Hamilton, Richard Dosselmann
Retail price time series imputation. Int. J. Bus. Intell. Data Min. 11 (1) (2016)
Credell Simeon, Robert J. Hilderman
Using Combined Lexical Resources to Identify Hashtag Types. WASSA@EMNLP (2015)
Credell Simeon, Robert J. Hilderman
Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets. Discovery Science (2015)
Mondelle Simeon, Robert J. Hilderman, Howard J. Hamilton
Mining Interesting Correlated Contrast Sets. SGAI Conf. (2012)
Mondelle Simeon, Robert J. Hilderman
COSINE: A Vertical Group Difference Approach to Contrast Set Mining. Canadian Conference on AI (2011)
Mondelle Simeon, Robert J. Hilderman
GENCCS: A Correlated Group Difference Approach to Contrast Set Mining. MLDM (2011)
Garrett Nicolai, Robert J. Hilderman
Algorithms for Evolving No-Limit Texas Hold'em Poker Playing Agents. IJCCI (ICEC) (2010)
Garrett Nicolai, Robert J. Hilderman
Countering Evolutionary Forgetting in No-Limit Texas Hold'em Poker Agents. IJCCI (Selected Papers) (2010)
Mondelle Simeon, Robert J. Hilderman
An Empirical Study of Category Skew on Feature Selection for Text Categorization. Canadian Conference on AI (2009)
Garrett Nicolai, Robert J. Hilderman
No-Limit Texas Hold'em Poker agents created with evolutionary neural networks. CIG (2009)
Mondelle Simeon, Robert J. Hilderman
Categorical Proportional Difference: A Feature Selection Method for Text Categorization. AusDM (2008)
Timothy Maciag, Daryl H. Hepting, Robert J. Hilderman, Dominik Slezak
Evaluation of a Dominance-Based Rough Set Approach to Interface Design. FBIT (2007)
Brien Beattie, Garrett Nicolai, David Gerhard, Robert J. Hilderman
Pattern Classification in No-Limit Poker: A Head-Start Evolutionary Approach. Canadian Conference on AI (2007)
Timothy Maciag, Daryl H. Hepting, Dominik Slezak, Robert J. Hilderman
Mining Associations for Interface Design. RSKT (2007)
Mondelle Simeon, Robert J. Hilderman
Exploratory Quantitative Contrast Set Mining: A Discretization Approach. ICTAI (2) (2007)
Trevor N. Mansuy, Robert J. Hilderman
A Characterization of Wordnet Features in Boolean Models For Text Classification. AusDM (2006)
Trevor N. Mansuy, Robert J. Hilderman
Evaluating WordNet Features in Text Classification Models. FLAIRS Conference (2006)
Robert J. Hilderman
Predicting Itemset Sales Profiles with Share Measures and Repeat-Buying Theory. IDEAL (2003)
Robert J. Hilderman, Howard J. Hamilton
Measuring the interestingness of discovered knowledge: A principled approach. Intell. Data Anal. 7 (4) (2003)
Trevor N. Mansuy, Robert J. Hilderman
FormFormatter: A Software Tool for Generating Mouse-Optional User Interfaces in Visual Basic Applications. IASSE (2003)
Robert J. Hilderman
The Lorenz Dominance Order as a Measure of Interestingness in KDD. PAKDD (2002)
Robert J. Hilderman, Howard J. Hamilton
Evaluation of Interestingness Measures for Ranking Discovered Knowledge. PAKDD (2001)
Robert J. Hilderman, Howard J. Hamilton
Applying Objective Interestingness Measures in Data Mining Systems. PKDD (2000)
Robert J. Hilderman, Howard J. Hamilton
Principles for mining summaries using objective measures of interestingness. ICTAI (2000)
Robert J. Hilderman, Howard J. Hamilton, Nick Cercone
Data Mining in Large Databases Using Domain Generalization Graphs. J. Intell. Inf. Syst. 13 (3) (1999)
Robert J. Hilderman, Howard J. Hamilton
Heuristic for Ranking the Interestigness of Discovered Knowledge. PAKDD (1999)
Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman
Temporal Generalization with Domain Generalization Graphs. Int. J. Pattern Recognit. Artif. Intell. 13 (2) (1999)
Robert J. Hilderman, Howard J. Hamilton, Brock Barber
Ranking the Interestingness of Summaries from Data Mining Systems. FLAIRS Conference (1999)
Robert J. Hilderman, Howard J. Hamilton
Heuristic Measures of Interestingness. PKDD (1999)
Robert J. Hilderman, Colin L. Carter, Howard J. Hamilton, Nick Cercone
Mining Market Basket Data Using Share Measures and Characterized Itemsets. PAKDD (1998)
Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman
Generalization for Calendar Attributes using Domain Generalization Graphs. TIME (1998)
Howard J. Hamilton, Robert J. Hilderman, Liangchun Li, Dee Jay Randall
Generalization Lattices. PKDD (1998)
Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman
A Technique for Generalizing Temporal Durations in Relational Databases. FLAIRS Conference (1998)
Robert J. Hilderman, Howard J. Hamilton, Colin L. Carter, Nick Cercone
Mining Association Rules from Market Basket Data using Share Measures and Characterized Itemsets. Int. J. Artif. Intell. Tools 7 (2) (1998)
Robert J. Hilderman, Liangchun Li, Howard J. Hamilton
Data Visualization in the DB-Discover System. ICTAI (1997)
Robert J. Hilderman, Howard J. Hamilton, Robert J. Kowalchuk, Nick Cercone
Parallel Knowledge Discovery Using Domain Generalization Graphs. PKDD (1997)
Robert J. Hilderman, Howard J. Hamilton
A Note on Regeneration with Virtual Copies. IEEE Trans. Software Eng. 23 (1) (1997)
Howard J. Hamilton, Robert J. Hilderman, Nick Cercone
Attribute-oriented Induction Using Domain Generalization Graphs. ICTAI (1996)
Robert J. Hilderman, Howard J. Hamilton
Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm. SRDS (1995)