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ORCIDRobert J. Hilderman
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2010 – 2019
- 2016
[j6]Obaid Ullah Malik, Robert J. Hilderman, Howard J. Hamilton, Richard Dosselmann:
Retail price time series imputation. Int. J. Bus. Intell. Data Min. 11(1): 49-62 (2016)- [c34]Credell Simeon, Howard J. Hamilton, Robert J. Hilderman:
Word Segmentation Algorithms with Lexical Resources for Hashtag Classification. DSAA 2016: 743-751 - 2015
- [c33]Credell Simeon, Robert J. Hilderman:
Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets. Discovery Science 2015: 251-265 - [c32]Credell Simeon, Robert J. Hilderman:
Using Combined Lexical Resources to Identify Hashtag Types. WASSA@EMNLP 2015: 169-174 - 2012
- [c31]Mondelle Simeon, Robert J. Hilderman, Howard J. Hamilton
:
Mining Interesting Correlated Contrast Sets. SGAI Conf. 2012: 49-62 - 2011
- [c30]Mondelle Simeon, Robert J. Hilderman:
COSINE: A Vertical Group Difference Approach to Contrast Set Mining. Canadian AI 2011: 359-371 - [c29]Mondelle Simeon, Robert J. Hilderman:
GENCCS: A Correlated Group Difference Approach to Contrast Set Mining. MLDM 2011: 140-154 - 2010
- [c28]Garrett Nicolai, Robert J. Hilderman:
Algorithms for Evolving No-Limit Texas Hold'em Poker Playing Agents. IJCCI (ICEC) 2010: 20-32 - [c27]Garrett Nicolai, Robert J. Hilderman:
Countering Evolutionary Forgetting in No-Limit Texas Hold'em Poker Agents. IJCCI (Selected Papers) 2010: 31-48
2000 – 2009
- 2009
- [c26]Mondelle Simeon, Robert J. Hilderman:
An Empirical Study of Category Skew on Feature Selection for Text Categorization. Canadian AI 2009: 249-252 - [c25]Garrett Nicolai, Robert J. Hilderman:
No-Limit Texas Hold'em Poker agents created with evolutionary neural networks. CIG 2009: 125-131 - 2008
- [c24]Mondelle Simeon, Robert J. Hilderman:
Categorical Proportional Difference: A Feature Selection Method for Text Categorization. AusDM 2008: 201-208 - 2007
- [c23]Brien Beattie, Garrett Nicolai, David Gerhard, Robert J. Hilderman:
Pattern Classification in No-Limit Poker: A Head-Start Evolutionary Approach. Canadian AI 2007: 204-215 - [c22]Timothy Maciag, Daryl H. Hepting, Robert J. Hilderman, Dominik Slezak:
Evaluation of a Dominance-Based Rough Set Approach to Interface Design. FBIT 2007: 409-416 - [c21]Mondelle Simeon, Robert J. Hilderman:
Exploratory Quantitative Contrast Set Mining: A Discretization Approach. ICTAI (2) 2007: 124-131 - [c20]Timothy Maciag, Daryl H. Hepting, Dominik Slezak, Robert J. Hilderman:
Mining Associations for Interface Design. RSKT 2007: 109-117 - [p1]Robert J. Hilderman, Terry Peckham:
Statistical Methodologies for Mining Potentially Interesting Contrast Sets. Quality Measures in Data Mining 2007: 153-177 - 2006
- [c19]Trevor N. Mansuy, Robert J. Hilderman:
A Characterization of Wordnet Features in Boolean Models For Text Classification. AusDM 2006: 103-109 - [c18]Trevor N. Mansuy, Robert J. Hilderman:
Evaluating WordNet Features in Text Classification Models. FLAIRS 2006: 568-573 - 2003
- [j5]Robert J. Hilderman, Howard J. Hamilton:
Measuring the interestingness of discovered knowledge: A principled approach. Intell. Data Anal. 7(4): 347-382 (2003) - [c17]Trevor N. Mansuy, Robert J. Hilderman:
FormFormatter: A Software Tool for Generating Mouse-Optional User Interfaces in Visual Basic Applications. IASSE 2003: 172-177 - [c16]Robert J. Hilderman:
Predicting Itemset Sales Profiles with Share Measures and Repeat-Buying Theory. IDEAL 2003: 789-795 - 2002
- [c15]Robert J. Hilderman:
The Lorenz Dominance Order as a Measure of Interestingness in KDD. PAKDD 2002: 177-185 - 2001
- [c14]Robert J. Hilderman, Howard J. Hamilton:
Evaluation of Interestingness Measures for Ranking Discovered Knowledge. PAKDD 2001: 247-259 - 2000
- [c13]Robert J. Hilderman, Howard J. Hamilton:
Principles for mining summaries using objective measures of interestingness. ICTAI 2000: 72-81 - [c12]Robert J. Hilderman, Howard J. Hamilton:
Applying Objective Interestingness Measures in Data Mining Systems. PKDD 2000: 432-439
1990 – 1999
- 1999
- [j4]Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman:
Temporal Generalization with Domain Generalization Graphs. Int. J. Pattern Recognit. Artif. Intell. 13(2): 195-217 (1999) - [j3]Robert J. Hilderman, Howard J. Hamilton, Nick Cercone:
Data Mining in Large Databases Using Domain Generalization Graphs. J. Intell. Inf. Syst. 13(3): 195-234 (1999) - [c11]Robert J. Hilderman, Howard J. Hamilton, Brock Barber:
Ranking the Interestingness of Summaries from Data Mining Systems. FLAIRS 1999: 100-106 - [c10]Robert J. Hilderman, Howard J. Hamilton:
Heuristic for Ranking the Interestigness of Discovered Knowledge. PAKDD 1999: 204-209 - [c9]Robert J. Hilderman, Howard J. Hamilton:
Heuristic Measures of Interestingness. PKDD 1999: 232-241 - 1998
- [j2]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): 189-220 (1998) - [c8]Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman:
A Technique for Generalizing Temporal Durations in Relational Databases. FLAIRS 1998: 193-197 - [c7]Robert J. Hilderman, Colin L. Carter, Howard J. Hamilton, Nick Cercone:
Mining Market Basket Data Using Share Measures and Characterized Itemsets. PAKDD 1998: 159-170 - [c6]Howard J. Hamilton, Robert J. Hilderman, Liangchun Li, Dee Jay Randall:
Generalization Lattices. PKDD 1998: 328-336 - [c5]Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman:
Generalization for Calendar Attributes using Domain Generalization Graphs. TIME 1998: 177-184 - 1997
- [j1]Robert J. Hilderman, Howard J. Hamilton:
A Note on Regeneration with Virtual Copies. IEEE Trans. Software Eng. 23(1): 56-59 (1997) - [c4]Robert J. Hilderman, Liangchun Li, Howard J. Hamilton:
Data Visualization in the DB-Discover System. ICTAI 1997: 474-477 - [c3]Robert J. Hilderman, Howard J. Hamilton, Robert J. Kowalchuk, Nick Cercone:
Parallel Knowledge Discovery Using Domain Generalization Graphs. PKDD 1997: 25-35 - 1996
- [c2]Howard J. Hamilton, Robert J. Hilderman, Nick Cercone:
Attribute-oriented Induction Using Domain Generalization Graphs. ICTAI 1996: 246-253 - 1995
- [c1]Robert J. Hilderman, Howard J. Hamilton:
Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm. SRDS 1995: 196-205
Coauthor Index
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