Robert J. Hilderman

According to our database, Robert J. Hilderman authored at least 41 papers between 1995 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

Retail price time series imputation.

Obaid Ullah Malik, Robert J. Hilderman, Howard J. Hamilton, Richard Dosselmann

Int. J. Bus. Intell. Data Min., 2016

Word Segmentation Algorithms with Lexical Resources for Hashtag Classification.

Credell Simeon, Howard J. Hamilton, Robert J. Hilderman

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015

Using Combined Lexical Resources to Identify Hashtag Types.

Credell Simeon, Robert J. Hilderman

Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, 2015

Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets.

Credell Simeon, Robert J. Hilderman

Proceedings of the Discovery Science - 18th International Conference, 2015

2012

Mining Interesting Correlated Contrast Sets.

Mondelle Simeon, Robert J. Hilderman, Howard J. Hamilton

Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

2011

GENCCS: A Correlated Group Difference Approach to Contrast Set Mining.

Mondelle Simeon, Robert J. Hilderman

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

COSINE: A Vertical Group Difference Approach to Contrast Set Mining.

Mondelle Simeon, Robert J. Hilderman

Proceedings of the Advances in Artificial Intelligence, 2011

2010

Countering Evolutionary Forgetting in No-Limit Texas Hold'em Poker Agents.

Garrett Nicolai, Robert J. Hilderman

Proceedings of the Computational Intelligence, 2010

Algorithms for Evolving No-Limit Texas Hold'em Poker Playing Agents.

Garrett Nicolai, Robert J. Hilderman

Proceedings of the 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, 2010

2009

No-Limit Texas Hold'em Poker agents created with evolutionary neural networks.

Garrett Nicolai, Robert J. Hilderman

Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009

An Empirical Study of Category Skew on Feature Selection for Text Categorization.

Mondelle Simeon, Robert J. Hilderman

Proceedings of the Advances in Artificial Intelligence, 2009

2008

Categorical Proportional Difference: A Feature Selection Method for Text Categorization.

Mondelle Simeon, Robert J. Hilderman

Proceedings of the Data Mining and Analytics 2008, 2008

2007

Statistical Methodologies for Mining Potentially Interesting Contrast Sets.

Robert J. Hilderman, Terry Peckham

Proceedings of the Quality Measures in Data Mining, 2007

Mining Associations for Interface Design.

Timothy Maciag, Daryl H. Hepting, Dominik Slezak, Robert J. Hilderman

Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

Exploratory Quantitative Contrast Set Mining: A Discretization Approach.

Mondelle Simeon, Robert J. Hilderman

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Evaluation of a Dominance-Based Rough Set Approach to Interface Design.

Timothy Maciag, Daryl H. Hepting, Robert J. Hilderman, Dominik Slezak

Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007

Pattern Classification in No-Limit Poker: A Head-Start Evolutionary Approach.

Brien Beattie, Garrett Nicolai, David Gerhard, Robert J. Hilderman

Proceedings of the Advances in Artificial Intelligence, 2007

2006

Evaluating WordNet Features in Text Classification Models.

Trevor N. Mansuy, Robert J. Hilderman

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

A Characterization of Wordnet Features in Boolean Models For Text Classification.

Trevor N. Mansuy, Robert J. Hilderman

Proceedings of the Data Mining and Analytics 2006, 2006

2003

Measuring the interestingness of discovered knowledge: A principled approach.

Robert J. Hilderman, Howard J. Hamilton

Intell. Data Anal., 2003

Predicting Itemset Sales Profiles with Share Measures and Repeat-Buying Theory.

Robert J. Hilderman

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

FormFormatter: A Software Tool for Generating Mouse-Optional User Interfaces in Visual Basic Applications.

Trevor N. Mansuy, Robert J. Hilderman

Proceedings of the 12th International Conference on Intelligent and Adaptive Systems and Software Engineering, 2003

2002

The Lorenz Dominance Order as a Measure of Interestingness in KDD.

Robert J. Hilderman

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

2001

Evaluation of Interestingness Measures for Ranking Discovered Knowledge.

Robert J. Hilderman, Howard J. Hamilton

Proceedings of the Knowledge Discovery and Data Mining, 2001

2000

Applying Objective Interestingness Measures in Data Mining Systems.

Robert J. Hilderman, Howard J. Hamilton

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Principles for mining summaries using objective measures of interestingness.

Robert J. Hilderman, Howard J. Hamilton

Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 2000

1999

Data Mining in Large Databases Using Domain Generalization Graphs.

Robert J. Hilderman, Howard J. Hamilton, Nick Cercone

J. Intell. Inf. Syst., 1999

Temporal Generalization with Domain Generalization Graphs.

Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman

Int. J. Pattern Recognit. Artif. Intell., 1999

Heuristic Measures of Interestingness.

Robert J. Hilderman, Howard J. Hamilton

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Heuristic for Ranking the Interestigness of Discovered Knowledge.

Robert J. Hilderman, Howard J. Hamilton

Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Ranking the Interestingness of Summaries from Data Mining Systems.

Robert J. Hilderman, Howard J. Hamilton, Brock Barber

Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, 1999

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

Generalization for Calendar Attributes using Domain Generalization Graphs.

Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman

Proceedings of the 5th Workshop on Temporal Representation and Reasoning, 1998

Generalization Lattices.

Howard J. Hamilton, Robert J. Hilderman, Liangchun Li, Dee Jay Randall

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998

Mining Market Basket Data Using Share Measures and Characterized Itemsets.

Robert J. Hilderman, Colin L. Carter, Howard J. Hamilton, Nick Cercone

Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

A Technique for Generalizing Temporal Durations in Relational Databases.

Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman

Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998

1997

A Note on Regeneration with Virtual Copies.

Robert J. Hilderman, Howard J. Hamilton

IEEE Trans. Software Eng., 1997

Parallel Knowledge Discovery Using Domain Generalization Graphs.

Robert J. Hilderman, Howard J. Hamilton, Robert J. Kowalchuk, Nick Cercone

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1997

Data Visualization in the DB-Discover System.

Robert J. Hilderman, Liangchun Li, Howard J. Hamilton

Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997

1996

Attribute-oriented Induction Using Domain Generalization Graphs.

Howard J. Hamilton, Robert J. Hilderman, Nick Cercone

Proceedings of the Eigth International Conference on Tools with Artificial Intelligence, 1996

1995

Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm.

Robert J. Hilderman, Howard J. Hamilton

Proceedings of the 14th Symposium on Reliable Distributed Systems, 1995