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Robert J. Hilderman Vis

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*2009
31EEMondelle Simeon, Robert J. Hilderman: An Empirical Study of Category Skew on Feature Selection for Text Categorization. Canadian Conference on AI 2009: 249-252
2008
30EEMondelle Simeon, Robert J. Hilderman: Categorical Proportional Difference: A Feature Selection Method for Text Categorization. AusDM 2008: 201-208
2007
29EEBrien Beattie, Garrett Nicolai, David Gerhard, Robert J. Hilderman: Pattern Classification in No-Limit Poker: A Head-Start Evolutionary Approach. Canadian Conference on AI 2007: 204-215
28EETimothy Maciag, Daryl H. Hepting, Robert J. Hilderman, Dominik Slezak: Evaluation of a Dominance-Based Rough Set Approach to Interface Design. FBIT 2007: 409-416
27EEMondelle Simeon, Robert J. Hilderman: Exploratory Quantitative Contrast Set Mining: A Discretization Approach. ICTAI (2) 2007: 124-131
26EETimothy Maciag, Daryl H. Hepting, Dominik Slezak, Robert J. Hilderman: Mining Associations for Interface Design. RSKT 2007: 109-117
25EERobert J. Hilderman, Terry Peckham: Statistical Methodologies for Mining Potentially Interesting Contrast Sets. Quality Measures in Data Mining 2007: 153-177
2006
24EETrevor N. Mansuy, Robert J. Hilderman: A Characterization of Wordnet Features in Boolean Models For Text Classification. AusDM 2006: 103-109
23 Trevor N. Mansuy, Robert J. Hilderman: Evaluating WordNet Features in Text Classification Models. FLAIRS Conference 2006: 568-573
2003
22 Trevor N. Mansuy, Robert J. Hilderman: FormFormatter: A Software Tool for Generating Mouse-Optional User Interfaces in Visual Basic Applications. IASSE 2003: 172-177
21EERobert J. Hilderman: Predicting Itemset Sales Profiles with Share Measures and Repeat-Buying Theory. IDEAL 2003: 789-795
20EERobert J. Hilderman, Howard J. Hamilton: Measuring the interestingness of discovered knowledge: A principled approach. Intell. Data Anal. 7(4): 347-382 (2003)
2002
19EERobert J. Hilderman: The Lorenz Dominance Order as a Measure of Interestingness in KDD. PAKDD 2002: 177-185
2001
18EERobert J. Hilderman, Howard J. Hamilton: Evaluation of Interestingness Measures for Ranking Discovered Knowledge. PAKDD 2001: 247-259
2000
17EERobert J. Hilderman, Howard J. Hamilton: Principles for mining summaries using objective measures of interestingness. ICTAI 2000: 72-81
16EERobert J. Hilderman, Howard J. Hamilton: Applying Objective Interestingness Measures in Data Mining Systems. PKDD 2000: 432-439
1999
15 Robert J. Hilderman, Howard J. Hamilton, Brock Barber: Ranking the Interestingness of Summaries from Data Mining Systems. FLAIRS Conference 1999: 100-106
14EERobert J. Hilderman, Howard J. Hamilton: Heuristic for Ranking the Interestigness of Discovered Knowledge. PAKDD 1999: 204-209
13 Robert J. Hilderman, Howard J. Hamilton: Heuristic Measures of Interestingness. PKDD 1999: 232-241
12 Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman: Temporal Generalization with Domain Generalization Graphs. IJPRAI 13(2): 195-217 (1999)
11 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)
1998
10 Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman: A Technique for Generalizing Temporal Durations in Relational Databases. FLAIRS Conference 1998: 193-197
9 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
8 Howard J. Hamilton, Robert J. Hilderman, Liangchun Li, Dee Jay Randall: Generalization Lattices. PKDD 1998: 328-336
7EEDee Jay Randall, Howard J. Hamilton, Robert J. Hilderman: Generalization for Calendar Attributes using Domain Generalization Graphs. TIME 1998: 177-184
6EERobert J. Hilderman, Howard J. Hamilton, Colin L. Carter, Nick Cercone: Mining Association Rules from Market Basket Data using Share Measures and Characterized Itemsets. International Journal on Artificial Intelligence Tools 7(2): 189-220 (1998)
1997
5EERobert J. Hilderman, Liangchun Li, Howard J. Hamilton: Data Visualization in the DB-Discover System. ICTAI 1997: 474-477
4 Robert J. Hilderman, Howard J. Hamilton, Robert J. Kowalchuk, Nick Cercone: Parallel Knowledge Discovery Using Domain Generalization Graphs. PKDD 1997: 25-35
3EERobert J. Hilderman, Howard J. Hamilton: A Note on Regeneration with Virtual Copies. IEEE Trans. Software Eng. 23(1): 56-59 (1997)
1996
2 Howard J. Hamilton, Robert J. Hilderman, Nick Cercone: Attribute-oriented Induction Using Domain Generalization Graphs. ICTAI 1996: 246-253
1995
1 Robert J. Hilderman, Howard J. Hamilton: Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm. SRDS 1995: 196-205

Coauthor Index

1Brock Barber [15]
2Brien Beattie [29]
3Colin L. Carter [6] [9]
4Nick Cercone [2] [4] [6] [9] [11]
5David Gerhard [29]
6Howard J. Hamilton [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [20]
7Daryl H. Hepting [26] [28]
8Robert J. Kowalchuk [4]
9Liangchun Li [5] [8]
10Timothy Maciag [26] [28]
11Trevor N. Mansuy [22] [23] [24]
12Garrett Nicolai [29]
13Terry Peckham [25]
14Dee Jay Randall [7] [8] [10] [12]
15Mondelle Simeon [27] [30] [31]
16Dominik Slezak [26] [28]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)