| 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 |
