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Robert J. Hilderman: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Robert J. Hilderman, Howard J. Hamilton, Brock Barber
    Ranking the Interestingness of Summaries from Data Mining Systems. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 1999, pp:100-106 [Conf]
  2. Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman
    A Technique for Generalizing Temporal Durations in Relational Databases. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 1998, pp:193-197 [Conf]
  3. Trevor N. Mansuy, Robert J. Hilderman
    Evaluating WordNet Features in Text Classification Models. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2006, pp:568-573 [Conf]
  4. Trevor N. Mansuy, Robert J. Hilderman
    FormFormatter: A Software Tool for Generating Mouse-Optional User Interfaces in Visual Basic Applications. [Citation Graph (0, 0)][DBLP]
    IASSE, 2003, pp:172-177 [Conf]
  5. Howard J. Hamilton, Robert J. Hilderman, Nick Cercone
    Attribute-oriented Induction Using Domain Generalization Graphs. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1996, pp:246-253 [Conf]
  6. Robert J. Hilderman, Howard J. Hamilton
    Principles for mining summaries using objective measures of interestingness. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2000, pp:72-81 [Conf]
  7. Robert J. Hilderman, Liangchun Li, Howard J. Hamilton
    Data Visualization in the DB-Discover System. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1997, pp:474-477 [Conf]
  8. Robert J. Hilderman
    Predicting Itemset Sales Profiles with Share Measures and Repeat-Buying Theory. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2003, pp:789-795 [Conf]
  9. Robert J. Hilderman
    The Lorenz Dominance Order as a Measure of Interestingness in KDD. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2002, pp:177-185 [Conf]
  10. Robert J. Hilderman, Colin L. Carter, Howard J. Hamilton, Nick Cercone
    Mining Market Basket Data Using Share Measures and Characterized Itemsets. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1998, pp:159-170 [Conf]
  11. Robert J. Hilderman, Howard J. Hamilton
    Evaluation of Interestingness Measures for Ranking Discovered Knowledge. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2001, pp:247-259 [Conf]
  12. Robert J. Hilderman, Howard J. Hamilton
    Heuristic for Ranking the Interestigness of Discovered Knowledge. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:204-209 [Conf]
  13. Robert J. Hilderman, Howard J. Hamilton, Robert J. Kowalchuk, Nick Cercone
    Parallel Knowledge Discovery Using Domain Generalization Graphs. [Citation Graph (0, 0)][DBLP]
    PKDD, 1997, pp:25-35 [Conf]
  14. Howard J. Hamilton, Robert J. Hilderman, Liangchun Li, Dee Jay Randall
    Generalization Lattices. [Citation Graph (0, 0)][DBLP]
    PKDD, 1998, pp:328-336 [Conf]
  15. Robert J. Hilderman, Howard J. Hamilton
    Applying Objective Interestingness Measures in Data Mining Systems. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:432-439 [Conf]
  16. Robert J. Hilderman, Howard J. Hamilton
    Heuristic Measures of Interestingness. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:232-241 [Conf]
  17. Robert J. Hilderman, Howard J. Hamilton
    Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm. [Citation Graph (0, 0)][DBLP]
    Symposium on Reliable Distributed Systems, 1995, pp:196-205 [Conf]
  18. Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman
    Generalization for Calendar Attributes using Domain Generalization Graphs. [Citation Graph (0, 0)][DBLP]
    TIME, 1998, pp:177-184 [Conf]
  19. Robert J. Hilderman, Howard J. Hamilton
    Measuring the interestingness of discovered knowledge: A principled approach. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2003, v:7, n:4, pp:347-382 [Journal]
  20. Robert J. Hilderman, Howard J. Hamilton, Colin L. Carter, Nick Cercone
    Mining Association Rules from Market Basket Data using Share Measures and Characterized Itemsets. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 1998, v:7, n:2, pp:189-220 [Journal]
  21. Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman
    Temporal Generalization with Domain Generalization Graphs. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1999, v:13, n:2, pp:195-217 [Journal]
  22. Robert J. Hilderman, Howard J. Hamilton, Nick Cercone
    Data Mining in Large Databases Using Domain Generalization Graphs. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 1999, v:13, n:3, pp:195-234 [Journal]
  23. Robert J. Hilderman, Howard J. Hamilton
    A Note on Regeneration with Virtual Copies. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Software Eng., 1997, v:23, n:1, pp:56-59 [Journal]
  24. Brien Beattie, Garrett Nicolai, David Gerhard, Robert J. Hilderman
    Pattern Classification in No-Limit Poker: A Head-Start Evolutionary Approach. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2007, pp:204-215 [Conf]
  25. Timothy Maciag, Daryl H. Hepting, Dominik Slezak, Robert J. Hilderman
    Mining Associations for Interface Design. [Citation Graph (0, 0)][DBLP]
    RSKT, 2007, pp:109-117 [Conf]

  26. An Empirical Study of Category Skew on Feature Selection for Text Categorization. [Citation Graph (, )][DBLP]


  27. A Characterization of Wordnet Features in Boolean Models For Text Classification. [Citation Graph (, )][DBLP]


  28. Categorical Proportional Difference: A Feature Selection Method for Text Categorization. [Citation Graph (, )][DBLP]


  29. Exploratory Quantitative Contrast Set Mining: A Discretization Approach. [Citation Graph (, )][DBLP]


  30. Evaluation of a Dominance-Based Rough Set Approach to Interface Design. [Citation Graph (, )][DBLP]


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