Robert J. Hilderman Vis

*	2009
31	EE	Mondelle Simeon, Robert J. Hilderman: An Empirical Study of Category Skew on Feature Selection for Text Categorization. Canadian Conference on AI 2009: 249-252
	2008
30	EE	Mondelle Simeon, Robert J. Hilderman: Categorical Proportional Difference: A Feature Selection Method for Text Categorization. AusDM 2008: 201-208
	2007
29	EE	Brien 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
28	EE	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
27	EE	Mondelle Simeon, Robert J. Hilderman: Exploratory Quantitative Contrast Set Mining: A Discretization Approach. ICTAI (2) 2007: 124-131
26	EE	Timothy Maciag, Daryl H. Hepting, Dominik Slezak, Robert J. Hilderman: Mining Associations for Interface Design. RSKT 2007: 109-117
25	EE	Robert J. Hilderman, Terry Peckham: Statistical Methodologies for Mining Potentially Interesting Contrast Sets. Quality Measures in Data Mining 2007: 153-177
	2006
24	EE	Trevor 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
21	EE	Robert J. Hilderman: Predicting Itemset Sales Profiles with Share Measures and Repeat-Buying Theory. IDEAL 2003: 789-795
20	EE	Robert J. Hilderman, Howard J. Hamilton: Measuring the interestingness of discovered knowledge: A principled approach. Intell. Data Anal. 7(4): 347-382 (2003)
	2002
19	EE	Robert J. Hilderman: The Lorenz Dominance Order as a Measure of Interestingness in KDD. PAKDD 2002: 177-185
	2001
18	EE	Robert J. Hilderman, Howard J. Hamilton: Evaluation of Interestingness Measures for Ranking Discovered Knowledge. PAKDD 2001: 247-259
	2000
17	EE	Robert J. Hilderman, Howard J. Hamilton: Principles for mining summaries using objective measures of interestingness. ICTAI 2000: 72-81
16	EE	Robert 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
14	EE	Robert 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
7	EE	Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman: Generalization for Calendar Attributes using Domain Generalization Graphs. TIME 1998: 177-184
6	EE	Robert 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
5	EE	Robert 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
3	EE	Robert 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

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

Colors in the list of coauthors