Robert J. Hilderman

41 papers B 10C 2Misc 5Journal 6Unranked 17
YearRankTypeTitle / Venue / Authors
2016 J jnl
Retail price time series imputation.
Int. J. Bus. Intell. Data Min.
Obaid Ullah Malik, Robert J. Hilderman, Howard J. Hamilton, Richard Dosselmann
2016 B conf
Word Segmentation Algorithms with Lexical Resources for Hashtag Classification.
DSAA
Credell Simeon, Howard J. Hamilton, Robert J. Hilderman
2015 B conf
Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets.
Discovery Science
Credell Simeon, Robert J. Hilderman
2015 — conf
Using Combined Lexical Resources to Identify Hashtag Types.
WASSA@EMNLP
Credell Simeon, Robert J. Hilderman
2012 — conf
Mining Interesting Correlated Contrast Sets.
SGAI Conf.
Mondelle Simeon, Robert J. Hilderman, Howard J. Hamilton
2011 — conf
COSINE: A Vertical Group Difference Approach to Contrast Set Mining.
Canadian AI
Mondelle Simeon, Robert J. Hilderman
2011 — conf
GENCCS: A Correlated Group Difference Approach to Contrast Set Mining.
MLDM
Mondelle Simeon, Robert J. Hilderman
2010 — conf
Algorithms for Evolving No-Limit Texas Hold'em Poker Playing Agents.
IJCCI (ICEC)
Garrett Nicolai, Robert J. Hilderman
2010 — conf
Countering Evolutionary Forgetting in No-Limit Texas Hold'em Poker Agents.
IJCCI (Selected Papers)
Garrett Nicolai, Robert J. Hilderman
2009 — conf
An Empirical Study of Category Skew on Feature Selection for Text Categorization.
Canadian AI
Mondelle Simeon, Robert J. Hilderman
2009 — conf
No-Limit Texas Hold'em Poker agents created with evolutionary neural networks.
CIG
Garrett Nicolai, Robert J. Hilderman
2008 Misc conf
Categorical Proportional Difference: A Feature Selection Method for Text Categorization.
AusDM
Mondelle Simeon, Robert J. Hilderman
2007 — conf
Evaluation of a Dominance-Based Rough Set Approach to Interface Design.
FBIT
Timothy Maciag, Daryl H. Hepting, Robert J. Hilderman, Dominik Slezak
2007 — conf
Exploratory Quantitative Contrast Set Mining: A Discretization Approach.
ICTAI (2)
Mondelle Simeon, Robert J. Hilderman
2007 — conf
Mining Associations for Interface Design.
RSKT
Timothy Maciag, Daryl H. Hepting, Dominik Slezak, Robert J. Hilderman
2007 — conf
Pattern Classification in No-Limit Poker: A Head-Start Evolutionary Approach.
Canadian AI
Brien Beattie, Garrett Nicolai, David Gerhard, Robert J. Hilderman
2007 — ch.
Statistical Methodologies for Mining Potentially Interesting Contrast Sets.
Quality Measures in Data Mining
Robert J. Hilderman, Terry Peckham
2006 Misc conf
A Characterization of Wordnet Features in Boolean Models For Text Classification.
AusDM
Trevor N. Mansuy, Robert J. Hilderman
2006 Misc conf
Evaluating WordNet Features in Text Classification Models.
FLAIRS
Trevor N. Mansuy, Robert J. Hilderman
2003 — conf
FormFormatter: A Software Tool for Generating Mouse-Optional User Interfaces in Visual Basic Applications.
IASSE
Trevor N. Mansuy, Robert J. Hilderman
2003 J jnl
Measuring the interestingness of discovered knowledge: A principled approach.
Intell. Data Anal.
Robert J. Hilderman, Howard J. Hamilton
2003 C conf
Predicting Itemset Sales Profiles with Share Measures and Repeat-Buying Theory.
IDEAL
Robert J. Hilderman
2002 B conf
The Lorenz Dominance Order as a Measure of Interestingness in KDD.
PAKDD
Robert J. Hilderman
2001 B conf
Evaluation of Interestingness Measures for Ranking Discovered Knowledge.
PAKDD
Robert J. Hilderman, Howard J. Hamilton
2000 — conf
Applying Objective Interestingness Measures in Data Mining Systems.
PKDD
Robert J. Hilderman, Howard J. Hamilton
2000 B conf
Principles for mining summaries using objective measures of interestingness.
ICTAI
Robert J. Hilderman, Howard J. Hamilton
1999 J jnl
Data Mining in Large Databases Using Domain Generalization Graphs.
J. Intell. Inf. Syst.
Robert J. Hilderman, Howard J. Hamilton, Nick Cercone
1999 — conf
Heuristic Measures of Interestingness.
PKDD
Robert J. Hilderman, Howard J. Hamilton
1999 B conf
Heuristic for Ranking the Interestigness of Discovered Knowledge.
PAKDD
Robert J. Hilderman, Howard J. Hamilton
1999 Misc conf
Ranking the Interestingness of Summaries from Data Mining Systems.
FLAIRS
Robert J. Hilderman, Howard J. Hamilton, Brock Barber
1999 J jnl
Temporal Generalization with Domain Generalization Graphs.
Int. J. Pattern Recognit. Artif. Intell.
Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman
1998 Misc conf
A Technique for Generalizing Temporal Durations in Relational Databases.
FLAIRS
Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman
1998 — conf
Generalization Lattices.
PKDD
Howard J. Hamilton, Robert J. Hilderman, Liangchun Li, Dee Jay Randall
1998 C conf
Generalization for Calendar Attributes using Domain Generalization Graphs.
TIME
Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman
1998 J jnl
Mining Association Rules from Market Basket Data using Share Measures and Characterized Itemsets.
Int. J. Artif. Intell. Tools
Robert J. Hilderman, Howard J. Hamilton, Colin L. Carter, Nick Cercone
1998 B conf
Mining Market Basket Data Using Share Measures and Characterized Itemsets.
PAKDD
Robert J. Hilderman, Colin L. Carter, Howard J. Hamilton, Nick Cercone
1997 J jnl
A Note on Regeneration with Virtual Copies.
IEEE Trans. Software Eng.
Robert J. Hilderman, Howard J. Hamilton
1997 B conf
Data Visualization in the DB-Discover System.
ICTAI
Robert J. Hilderman, Liangchun Li, Howard J. Hamilton
1997 — conf
Parallel Knowledge Discovery Using Domain Generalization Graphs.
PKDD
Robert J. Hilderman, Howard J. Hamilton, Robert J. Kowalchuk, Nick Cercone
1996 B conf
Attribute-oriented Induction Using Domain Generalization Graphs.
ICTAI
Howard J. Hamilton, Robert J. Hilderman, Nick Cercone
1995 B conf
Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm.
SRDS
Robert J. Hilderman, Howard J. Hamilton