Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm. - Robert J. Hilderman; Howard J. Hamilton (SRDS, 1995)

Attribute-oriented Induction Using Domain Generalization Graphs. - Howard J. Hamilton; Robert J. Hilderman; Nick Cercone (ICTAI, 1996)

Data Visualization in the DB-Discover System. - Robert J. Hilderman; Liangchun Li; Howard J. Hamilton (ICTAI, 1997)

Parallel Knowledge Discovery Using Domain Generalization Graphs. - Robert J. Hilderman; Howard J. Hamilton; Robert J. Kowalchuk; Nick Cercone (PKDD, 1997)

A Note on Regeneration with Virtual Copies. - Robert J. Hilderman; Howard J. Hamilton (IEEE Trans. Software Eng., 1997)

A Technique for Generalizing Temporal Durations in Relational Databases. - Dee Jay Randall; Howard J. Hamilton; Robert J. Hilderman (FLAIRS, 1998)

Mining Market Basket Data Using Share Measures and Characterized Itemsets. - Robert J. Hilderman; Colin L. Carter; Howard J. Hamilton; Nick Cercone (PAKDD, 1998)

Generalization Lattices. - Howard J. Hamilton; Robert J. Hilderman; Liangchun Li; Dee Jay Randall (PKDD, 1998)

Generalization for Calendar Attributes using Domain Generalization Graphs. - Dee Jay Randall; Howard J. Hamilton; Robert J. Hilderman (TIME, 1998)

Mining Association Rules from Market Basket Data using Share Measures and Characterized Itemsets. - Robert J. Hilderman; Howard J. Hamilton; Colin L. Carter; Nick Cercone (Int. J. Artif. Intell. Tools, 1998)

Ranking the Interestingness of Summaries from Data Mining Systems. - Robert J. Hilderman; Howard J. Hamilton; Brock Barber (FLAIRS, 1999)

Heuristic for Ranking the Interestigness of Discovered Knowledge. - Robert J. Hilderman; Howard J. Hamilton (PAKDD, 1999)

Heuristic Measures of Interestingness. - Robert J. Hilderman; Howard J. Hamilton (PKDD, 1999)

Temporal Generalization with Domain Generalization Graphs. - Dee Jay Randall; Howard J. Hamilton; Robert J. Hilderman (Int. J. Pattern Recognit. Artif. Intell., 1999)

Data Mining in Large Databases Using Domain Generalization Graphs. - Robert J. Hilderman; Howard J. Hamilton; Nick Cercone (J. Intell. Inf. Syst., 1999)

Principles for mining summaries using objective measures of interestingness. - Robert J. Hilderman; Howard J. Hamilton (ICTAI, 2000)

Applying Objective Interestingness Measures in Data Mining Systems. - Robert J. Hilderman; Howard J. Hamilton (PKDD, 2000)

Evaluation of Interestingness Measures for Ranking Discovered Knowledge. - Robert J. Hilderman; Howard J. Hamilton (PAKDD, 2001)

The Lorenz Dominance Order as a Measure of Interestingness in KDD. - Robert J. Hilderman (PAKDD, 2002)

FormFormatter: A Software Tool for Generating Mouse-Optional User Interfaces in Visual Basic Applications. - Trevor N. Mansuy; Robert J. Hilderman (IASSE, 2003)

Predicting Itemset Sales Profiles with Share Measures and Repeat-Buying Theory. - Robert J. Hilderman (IDEAL, 2003)

Measuring the interestingness of discovered knowledge: A principled approach. - Robert J. Hilderman; Howard J. Hamilton (Intell. Data Anal., 2003)

A Characterization of Wordnet Features in Boolean Models For Text Classification. - Trevor N. Mansuy; Robert J. Hilderman (AusDM, 2006)

Evaluating WordNet Features in Text Classification Models. - Trevor N. Mansuy; Robert J. Hilderman (FLAIRS, 2006)

Pattern Classification in No-Limit Poker: A Head-Start Evolutionary Approach. - Brien Beattie; Garrett Nicolai; David Gerhard; Robert J. Hilderman (Canadian AI, 2007)

Evaluation of a Dominance-Based Rough Set Approach to Interface Design. - Timothy Maciag; Daryl H. Hepting; Robert J. Hilderman; Dominik Slezak (FBIT, 2007)

Exploratory Quantitative Contrast Set Mining: A Discretization Approach. - Mondelle Simeon; Robert J. Hilderman (ICTAI (2), 2007)

Mining Associations for Interface Design. - Timothy Maciag; Daryl H. Hepting; Dominik Slezak; Robert J. Hilderman (RSKT, 2007)

Statistical Methodologies for Mining Potentially Interesting Contrast Sets. - Robert J. Hilderman; Terry Peckham (Quality Measures in Data Mining, 2007)

Categorical Proportional Difference: A Feature Selection Method for Text Categorization. - Mondelle Simeon; Robert J. Hilderman (AusDM, 2008)

An Empirical Study of Category Skew on Feature Selection for Text Categorization. - Mondelle Simeon; Robert J. Hilderman (Canadian AI, 2009)

No-Limit Texas Hold'em Poker agents created with evolutionary neural networks. - Garrett Nicolai; Robert J. Hilderman (CIG, 2009)

Algorithms for Evolving No-Limit Texas Hold'em Poker Playing Agents. - Garrett Nicolai; Robert J. Hilderman (IJCCI (ICEC), 2010)

Countering Evolutionary Forgetting in No-Limit Texas Hold'em Poker Agents. - Garrett Nicolai; Robert J. Hilderman (IJCCI (Selected Papers), 2010)

COSINE: A Vertical Group Difference Approach to Contrast Set Mining. - Mondelle Simeon; Robert J. Hilderman (Canadian AI, 2011)

GENCCS: A Correlated Group Difference Approach to Contrast Set Mining. - Mondelle Simeon; Robert J. Hilderman (MLDM, 2011)

Mining Interesting Correlated Contrast Sets. - Mondelle Simeon; Robert J. Hilderman; Howard J. Hamilton (SGAI Conf., 2012)

Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets. - Credell Simeon; Robert J. Hilderman (Discovery Science, 2015)

Using Combined Lexical Resources to Identify Hashtag Types. - Credell Simeon; Robert J. Hilderman (WASSA@EMNLP, 2015)

Word Segmentation Algorithms with Lexical Resources for Hashtag Classification. - Credell Simeon; Howard J. Hamilton; Robert J. Hilderman (DSAA, 2016)

Retail price time series imputation. - Obaid Ullah Malik; Robert J. Hilderman; Howard J. Hamilton; Richard Dosselmann (Int. J. Bus. Intell. Data Min., 2016)