References

Howard J. Hamilton


Refereed Conference Proceedings

88. Wang, X., and Hamilton, H.J.,
``to be announced.'' In Proceedings of something , Accepted August 2004. (full paper, top 84/581 = 14%, citeseer impact rating xxx for xxx)

87. Geng, L., and Hamilton, H.J.,
``Finding Interesting Summaries in GenSpace Graphs Efficiently,'' In Proceedings of the xxth Canadian Artificial Intelligence Conference (AI'2004) , Accepted February 2004. (full paper, top 30/105 = 29%, citeseer impact rating 0.26 for Canadian AI)

86. Wang, X., and Hamilton, H.J.,
Title to be determined. In Some Proceedings , Accepted.

85. Li, G., and Hamilton, H.J.,
"Basic Association Rules," In Proceedings 2004 SIAM International Conference on Data Mining (SIAMDM04), Orlando, FL, April, 2004. Accepted. (full paper, Top 38/161 = 23%)

84. Yao, H., Hamilton, H.J., and Butz, C.J.,
"A Foundational Approach for Mining Itemset Utilities from Databases," In Proceedings 2004 SIAM International Conference on Data Mining (SIAMDM04), Orlando, FL, April, 2004. Accepted. (short paper, Top 61/161 = 38%)

83. Hamilton, H.J., Geng, L., Findlater, L, and Randall, D.J.,
``Spatio-Temporal Data Mining with Expected Distribution Domain Generalization Graphs,'' In Proceedings 10th Symposium on Temporal Representation and Reasoning / International Conference on Temporal Logic (TIME-ICTL 2003), IEEE CS Press, Cairns, Australia, July, 2003, pp. 181-191. (full paper, Top 23/33 = 70%, citeseer impact rating 0.41 for TIME)

82. Jiang, L., and Hamilton, H.J.,
``Methods of Searching for Frequent Sequential Patterns,'' In Proceedings Sixteenth Canadian Artificial Intelligence Conference (AI 2003), Springer Verlag, Halifax, NS, Canada, June, 2003, pp. 486-491. (citeseer impact rating 0.26 for Canadian AI)

81. Karimi, K., and Hamilton, H.J.,
``Using TimeSleuth for Discovering Temporal/Causal Rules: A Comparison,'' In Proceedings Sixteenth Canadian Artificial Intelligence Conference (AI 2003), Springer Verlag, Halifax, NS, Canada, June, 2003, pp. 175-189. (citeseer impact rating 0.26 for Canadian AI)

80. Butz, C.J., Yao, H., and Hamilton, H.J.,
``A Non-Local Coarsening Result in Granular Probabilistic Networks,'' In Proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC'03) , Beijing, China, May, 2003, pp. 686-689.

79. Karimi, K., and Hamilton, H.J.,
``Distinguishing Causal and Acausal Temporal Relations,'' In Proceedings of the Seventh Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2003), Seoul, South Korea, April/May, 2003. pp. 234-240. (short paper, top 59/215 = 27%, citeseer impact rating 0.30 for PAKDD)

78. Wang, X., and Hamilton, H.J.,
``DBRS: A Density-Based Spatial Clustering Method with Random Sampling,'' In Proceedings of the Seventh Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2003), Seoul, South Korea, April/May, 2003, pp. 563-575. (long paper, top 39/215 = 18%, citeseer impact rating 0.30 for PAKDD)

77. Yao, H., Hamilton, H.J., and Butz, C.
``FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences,'' In Proceedings of the Second IEEE International Conference on Data Mining, (ICDM'02), Maebashi, Japan, December, 2002, pp. 729-732. (short paper, top 118/369 = 32%, citeseer impact rating 0.35 for ICDM)

76. Geng, L., and Hamilton, H.J.
``ESRS: A Case Selection Algorithm Using Extended Similarity-based Rough Sets,'' In Proceedings of the Second IEEE International Conference on Data Mining, (ICDM'02), Maebashi, Japan, December, 2002, pp. 609-612. (short paper, top 118/369 = 32%, citeseer impact rating 0.35 for ICDM)

75. Karimi, K., and Hamilton, H.J.
``TimeSleuth: A Tool for Discovering Causal and Temporal Rules,'' In Proceedings 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), Washington DC, November, 2002, pp. 375-380. (short paper, top 51/84 = 61%, citeseer impact rating 0.25 for ICTAI)

74. Yao, Y.Y., Hamilton, H.J., and Wang, X.
``PagePrompter: An Intelligent Agent for Web Navigation Created Using Data Mining Techniques,'' In Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing, (RSCTC'02), Malvern, PA, October, 2002, pp.506-513. (citeseer impact rating 0.12 for RSCTC)

73. Karimi, K., and Hamilton, H.J.
``Discovering Temporal Rules from Temporally Ordered Data.'' In Proceedings International Conference on Intelligent Data Engineering and Automated Learning, (IDEAL'02), Manchester, UK, Springer Verlag, August, 2002, 25-30.

72. Wang, X., Chan, C.W., and Hamilton, H.J.
``Design of Knowledge-Based Systems with the Ontology-Domain-System Approach,'' In Proceedings of the Fourteenth International Conference on Software Engineering and Knowledge Engineering (SEKE'2002), Ischia, Italy, July, 2002, pp. 233-236. (citeseer impact rating 0.19 for SEKE)

71. Findlater, L., and Hamilton, H.J.
``Iceberg-Cube Algorithms: Experiments on Synthetic and Real Databases,'' In Proceedings IASTED International Conference on Artificial Intelligence and Soft Computing (ASC 2002), Banff, Canada, July, 2002, pp. 90-95. (I do not recommend IASTED conferences)

70. Karimi, K., and Hamilton, H.J.
``RFCT: An Association-Based Causality Miner,'' In Proceedings Fifteenth Canadian Artificial Intelligence Conference (AI 2002), Springer Verlag, Calgary, AB, June, 2002, pp. 334-338. (citeseer impact rating 0.26 for Canadian AI)

69. Hamilton, H.J. and Findlater, L.,
``Looking Backward, Forward, and All Around: Temporal, Spatial, and Spatio-Temporal Data Mining.'' In Proceedings Fifteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2002), AAAI Press, Key West, FL, May, 2002, pp. 481-485. Invited paper.

68. Findlater, L., and Hamilton, H.J.
``An Empirical Comparison of Methods for Iceberg-CUBE Construction,'' In Proceedings Fourteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2001), AAAI Press, Key West, FL, May, 2001, pp. 244-248. (Regular paper, Top 50%)

67. Hamilton, H.J., Wang, X., and Yao., Y.
``WebAdaptor: Designing Adaptive Web Sites Using Data Mining Techniques,'' In Proceedings Fourteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2001), AAAI Press, Key West, FL, May, 2001, pp. 128-132. (Regular paper, Top 50%)

66. Hilderman, R.J. and Hamilton, H.J.
``Evaluation of Interestingness Measures for Ranking Discovered Knowledge,'' In Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-01), Hong Kong, Springer Verlag, April, 2001, pp. 247-259. (long paper, citeseer impact rating 0.30 for PAKDD)

65. Karimi, K., and Hamilton, H.J.
``Learning with C4.5 in a Situation Calculus Domain.'' In Twentieth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence (ES 2000), Cambridge, UK, December, 2000, pp. 73-85.

64. Karimi, K., and Hamilton, H.J.
``Logical Decision Rules: Teaching C4.5 to Speak Prolog." In Second International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2000) , Hong Kong, December, 2000. pp. 85-90. (citeseer impact rating 0.01 for IDEAL)

63. Hilderman, R.J., and Hamilton, H.J.
``Principles for Mining Summaries Using Objective Measures of Interestingness.'' In IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2000) , Vancouver, BC, IEEE, November, 2000, pp. 72-81. (regular paper, citeseer impact rating 0.25 for ICTAI)

62. Kram, B., Hall, J., and Hamilton, H.J.
``Support Based Measures Applied to Ice Hockey Scoring Summaries'' In IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2000) , Vancouver, BC, IEEE, November, 2000, pp. 352-356. (short paper, citeseer impact rating 0.25 for ICTAI)

61. Barber, D.B. and Hamilton, H.J.
``Parametric Algorithms for Mining Share-Frequent Itemsets'' In International Symposium on Methodologies for Intelligent Systems (ISMIS'00) , Charlotte, NC, Springer Verlag, October, 2000, pp. 562-572. (citeseer impact rating 0.33 for ISMIS)

60. Karimi, K. and Hamilton, H.J.
``Finding Temporal Relations: Causal Bayesian Networks versus C4.5'' In International Symposium on Methodologies for Intelligent Systems (ISMIS'00) , Charlotte, NC, Springer Verlag, October, 2000, pp. 266-273. (citeseer impact rating 0.33 for ISMIS)

59. Karimi, K., Johnson, J.A., and Hamilton, H.J.
``A Proposal for Including Behavior in the Process of Object Similarity Assessment with Examples from Artificial Life'' In Second International Conference on Rough Sets and Current Trends in Computing (RSCTC'2000), Banff, Canada, Springer Verlag, September, 2000, pp. 603-607. (citeseer impact rating 0.12 for RSCTC)

58. Barber, D.B. and Hamilton, H.J.
``Algorithms for Mining Share Frequent Itemsets Containing Infrequent Subsets.'' In Fourth European Symposium on Principles of Data Mining and Knowledge Discovery (PKDD-2000), Lyon, France, Springer Verlag, September, 2000, pp. 316-324. (citeseer impact rating 0.50 for PKDD)

57. Hilderman, R.J. and Hamilton, H.J.
``Applying Objective Interestingness Measures in Data Mining Systems.'' In Fourth European Symposium on Principles of Data Mining and Knowledge Discovery (PKDD-2000), Lyon, France, Springer Verlag, September, 2000, pp. 432-439. (citeseer impact rating 0.50 for PKDD)

56. Karimi, K., Hamilton, H.J., and Goodwin, S.D.
``Divide and (Iteratively) Conquer!'' In 2000 International Conference on Artificial Intelligence (ICAI'2000) Proceedings, Las Vegas, Nevada, June, 2000, pp. 595-601. (citeseer impact rating xx for ICAI)

55. Xiang, Y., Hu, J., Cercone, N. and Hamilton, H.J.
``Learning Pseudo-Independent Models: Analytical and Experimental Results." In H.J. Hamilton (ed.), Advances in Artificial Intelligence: 13th Biennial Conference of the Canadian AI Society for the Computational Studies of Intelligence (AI'2000) Proceedings, Montreal, Springer Verlag, May, 2000, pp. 227-239. (citeseer impact rating 0.26 for Canadian AI)


54. Hilderman, R.J., and Hamilton, H.J.
``Heuristic Measures of Interestingness.'' In Third European Symposium on Principles of Data Mining and Knowledge Discovery (PKDD'99), Prague, Czech Republic, Springer Verlag, September, 1999, 232-241. (citeseer impact rating 0.50 for PKDD)

53. Zhang, J., Hamilton, H.J., and Cercone, N.
``Learning English Grapheme Segmentation Using the Iterated Version Space Algorithm.'' International Symposium on Methodologies for Intelligent Systems (ISMIS'99) , Warsaw, Poland, Springer Verlag, June, 1999, 420-429. (citeseer impact rating 0.33 for ISMIS)

52. Hamilton, H.J., and Randall, D.J.
``Heuristic Selection of Aggregated Temporal Data for Knowledge Discovery,'' Twelfth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE-99) , Cairo, Egypt, Springer Verlag, June, 1999, 714-723. (citeseer impact rating for IEA/AIE under several labels 0.30)

51. Hilderman, R.J., Hamilton, H.J., and Barber, D.B.
``Ranking the Interestingness of Summaries from Data Mining Systems.'' In Proceedings of the Twelfth International Florida AI Research Society Conference (FLAIRS'99), Orlando, FL, May, 1999, pp. 100-106. (Regular paper, Top 39/66 = 59%) Best Paper award: Second place

50. Hilderman, R.J., and Hamilton, H.J.
``Heuristics for Ranking the Interestingness of Discovered Knowledge.'' In Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-99), Beijing, China, Springer Verlag, Springer, April, 1999, pp. 204-209. (citeseer impact rating 0.30 for PAKDD)

49. Hamilton, H.J., Hilderman, R.J., Li, Liangchun, and Randall, D.J.
``Generalization Lattices.'' In Second European Symposium on Principles of Data Mining and Knowledge Discovery (PKDD'98), Nantes, France, Springer Verlag, September, 1998, pp. 328-336. (citeseer impact rating 0.50 for PKDD)

48. Zhang, J., and Hamilton, H.J.
``Learning English Syllabification Rules.'' In R.E. Mercer and E. Neufeld, Advances in Artificial Intelligence: 12th Biennial Conference of the Canadian AI Society for the Computational Studies of Intelligence (AI'98) Proceedings, Vancouver, BC, Springer Verlag, June, 1998, pp. 246-258. (citeseer impact rating 0.26 for Canadian AI)

47. Randall, D.J., Hamilton, H.J., and Hilderman, R.J.
``Generalization for Calendar Attributes Using Domain Generalization Graphs,'' Fifth International Workshop on Temporal Representation and Reasoning (TIME'98), Sanibel Island, FL, IEEE CS Press, May, 1998, pp. 177-184. (citeseer impact rating 0.41 for TIME)

46. Randall, D.J., Hamilton, H.J., and Hilderman, R.J.
``A Technique for Generalizing Temporal Durations in Relational Databases,'' Eleventh International FLAIRS Conference (FLAIRS-98), Sanibel Island, FL, AAAI Press, May, 1998, pp. 193-197. (Regular paper) Best Paper award.

45. Gonzalez, A.J., Daroszewski, S., and Hamilton, H.J.
``Determining the Incremental Worth of Members of an Aggregate Set Through Difference-Based Induction.'' Eleventh International FLAIRS Conference (FLAIRS-98), Sanibel Island, FL, AAAI Press, May, 1998, pp. 245-249. (Regular paper)

44. Hilderman, R.J., Carter, C.L., Hamilton, H.J., and Cercone, N.J.
``Mining Market Basket Data Using Share Measures and Characterized Itemsets.'' Second Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-98), Melbourne, Australia, Springer Verlag, April, 1998, pp. 159-173. (regular paper, top 28%, citeseer impact rating 0.30 for PAKDD)

43. Hamilton, H.J., Shan, N., and Ziarko, W.
``Machine Learning of Credible Classifications.'' in A. Sattar (ed.), Advanced Topics in Artificial Intelligence, Tenth Australian Joint Conference on Artificial Intelligence (AI'97) , Perth, Australia, Springer Verlag, November/December, 1997, pp. 330-339. (citeseer impact rating 0.16 for Australian AI)

42. Hilderman, R.J., Li, L., and Hamilton, H.J.
``Data Visualization in the DB-Discover System.'' International Conference on Tools with Artificial Intelligence (ICTAI'97), Newport Beach, CA, November, 1997, pp. 474-477. (citeseer impact rating 0.25 for ICTAI)

41. Zhang, J., and Hamilton, H.J.
``Learning English Syllabification for Words.'' International Symposium on Methodologies for Intelligent Systems (ISMIS'97) , Charlotte, NC, Springer Verlag, October, 1997, pp. 177-186. (citeseer impact rating 0.33 for ISMIS)

40. Barber, D.B., and Hamilton, H.J.
``A Comparison of Attribute Selection Strategies for Attribute-Oriented Generalization.'' International Symposium on Methodologies for Intelligent Systems (ISMIS'97) , Charlotte, NC, Springer, October, 1997, pp. 106-116. (citeseer impact rating 0.33 for ISMIS)

39. Zhang, J., and Hamilton, H.J.
``Learning English Pronunciation Rules: A Machine Learning Approach.'' Workshop on Thought and Language, IEICE Japan, Iizuka, Kyushu, Japan, September, 1997, pp. 104-115.

38. Zhang, J., Hamilton, H.J., and Galloway, B.
``English Graphemes and their Corresponding Sound Units.'' Pacific Linguistics Conference (PACLING '97), Ohme, Japan, September, 1997, pp. 351-362.

37. Hilderman, R.J., and Hamilton, H.J.
``A Formalized Methodology for Constructing Safe Multiphase Protocols.'' 1997 IEEE Pacific Rim Conference on Communications, Computers, and Signal Processing (PACRIM'97), Victoria, BC, August, 1997, pp. 924-929.

36. Carter, C.L., Hamilton, H.J., and Cercone, N.
``Share Based Measures for Itemsets.'' In Komorowski, J. and Zytkow, J. (eds.), Principles of Data Mining and Knowledge Discovery: First European Symposium, Proceedings (PKDD'97), Trondheim, Norway, June, 1997, pp. 14-24. (citeseer impact rating 0.50 for PKDD)

35. Hilderman, R.J., Hamilton, H.J., Kowalchuk, R., and Cercone, N.
``Parallel Knowledge Discovery Using Domain Generalization Graphs.'' In Komorowski, J. and Zytkow, J. (eds.), Principles of Data Mining and Knowledge Discovery: First European Symposium, Proceedings (PKDD'97), Trondheim, Norway, June, 1997, pp. 25-35. (citeseer impact rating 0.50 for PKDD)

34. Zhang, J., and Hamilton, H.J.
``Learning English Pronunciation Rules: A Comparison of IVSA and C4.5.'' In Proceedings of the Tenth Florida Artificial Intelligence Research Symposium (FLAIRS-97), Daytona, FL, May, 1997, pp. 427-431.

33. Hamilton, H.J., and Li, L.
``Version Space Sets for Disjunctive Concept Learning.'' In Proceedings of the Tenth Florida Artificial Intelligence Research Symposium (FLAIRS-97), Daytona, FL, May, 1997, pp. 422-426.

32. Shan, N., Hamilton, H.J., and Cercone, N.
``Inducing and Using Decision Rules in the GRG Knowledge Discovery System.'' In van Someren, M. and Widmer, G. (eds.), Machine Learning: ECML-97, 9th European Conference on Machine Learning, Prague, Czech Republic, April, 1997. pp. 234-241.

31. Shan, N., Hamilton, H.J., and Cercone, N.
``Learning Stronger Rules with RIAC System.'' In Proceedings of the Fifth International Workshop on Rough Sets and Soft Computing (RSSC'97), Research Triangle Park, NC, March, 1997. pp. 348-349.

30. Shan, N., Hamilton, H.J., Ziarko, W. and Cercone, N.
``Discretization of Continuous Valued Attributes in Attribute-Value Systems.'' In Proceedings of the Fourth International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery (RFSD'96), Toyko, Japan, November, 1996, pp. 74-81.

29. Hamilton, H.J., Hilderman, R.J., and Cercone, N.
``Attribute-Oriented Induction Using Domain Generalization Graphs.'' In Proceedings of the Eighth IEEE International Conference on Tools with Artificial Intelligence (ICTAI'96), Toulouse, France, November 1996, pp. 246-253. (citeseer impact rating 0.25 for ICTAI)

28. Shan, N., Ziarko, W., Hamilton, H.J., and Cercone, N.
``Discovering Classification Knowledge in Databases Using Rough Sets.'' In Proceedings of the Second International Conference on Knowledge Discovery & Data Mining (KDD-96), Portland, OR, August, 1996, pp. 271-274. (Poster presentation, Top 72/215 = 33%, citeseer impact rating 1.68 for KDD)

27. Zhang, J., and Hamilton, H.J.
``The LEP Learning System.'' In International Conference on Natural Language Processing and Industrial Applications (NLP+IA'96), Moncton, NB, June, 1996, pp. 293-297.

26. Shan, N., Hamilton, H.J., and Cercone, N.
``Induction of Classification Rules from Imperfect Data.'' In Foundations of Intelligent Systems (ISMIS'96) , Zakopane, Poland, Springer, June, 1996, pp. 118-127. (citeseer impact rating 0.33 for ISMIS)

25. Barber, D.B., and Hamilton, H.J.
``Attribute Selection Strategies for Attribute-Oriented Generalization.'' In Proceedings of the Canadian AI Conference (AI'96), Montreal, Springer, May, 1996, pp. 429-441. (citeseer impact rating 0.26 for Canadian AI)

24. Carter, C.L., Hall, G.W., and Hamilton, H.J.
``Sharing Domain Knowledge Through Derived Concept Hierarchies.'' In Proceedings of the Ninth Florida Artificial Intelligence Research Symposium (FLAIRS'96), Key West, FL, May, 1996, pp. 214-218.

23. Hamilton, H.J., and Zhang, J.
``The Iterated Version Space Algorithm.'' In Proceedings of the Ninth Florida Artificial Intelligence Research Symposium (FLAIRS'96), Key West, FL, May, 1996, pp. 209-213.

22. Pang, W., Hamilton, H.J., Hilderman, R.J., and Goodwin, S.D.
``Data Mining with Concept Generalization Graphs.'' In Proceedings of the Ninth Florida Artificial Intelligence Research Symposium (FLAIRS'96), Key West, FL, May, 1996, pp. 390-394.

21. Shan, N., Hamilton, H.J., and Cercone, N.
``Learning Decision Rules in Parallel.'' In Proceedings of the Ninth Florida Artificial Intelligence Research Symposium (FLAIRS'96), Key West, FL, May, 1996, pp. 156-160.

20. Hilderman, R.J., and Hamilton, H.J.
``Analysis of a Dynamic Voting Algorithm Based on Regeneration with Virtual Copies.'' In Proceedings of the 1996 IEEE International Phoenix Conference on Computers and Communications, Phoenix, AZ, March, 1996, pp. 385-391.

19. Kowalchuk, R., and Hamilton, H.J.
`` vnews : A Multicast, Multimedia News Service with Virtual Messages.'' In Proceedings of the 1996 IEEE International Phoenix Conference on Computers and Communications, Phoenix, AZ, March, 1996, pp. 44-50.

18. Shan, N., Hamilton, H.J., and Cercone, N.
``GRG: Knowledge Discovery Using Information Generalization, Information Reduction, and Rule Generation.'' In Proceedings of the Seventh IEEE International Conference on Tools with Artificial Intelligence (ICTAI'95), Washington, DC, November, 1995, pp. 372-379. (citeseer impact rating 0.25 for ICTAI)

17. Carter, C.L., and Hamilton, H.J.
``Performance Evaluation of Attribute-Oriented Algorithms for Knowledge Discovery from Databases.'' In Proceedings of the Seventh IEEE International Conference on Tools with Artificial Intelligence (ICTAI'95), Washington, DC, November, 1995, pp. 486-489. (citeseer impact rating 0.25 for ICTAI)

16. Hilderman, R.J., and Hamilton, H.J.
``Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm.'' In Proceedings of the 14th International Symposium on Reliable Distributed Systems, Bad Neuenahr, Germany, September, 1995, pp. 196-205.

15. Shan, N., Ziarko, W., Hamilton, H.J., and Cercone, N.
``Using Rough Sets as Tools for Knowledge Discovery.'' In Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), Montreal, Canada, August, 1995, pp. 263-268. (parallel session presentation, Top 23/133 = 17%, citeseer impact rating 1.68 for KDD)

14. Shan, N., Zhang, C.N., Hamilton, H.J., and Cercone, N.
``Minimizing the Rules of a Fuzzy Logic System By Using Rough Sets.'' In Proceedings of the Pacific-Asian Conference on Expert Systems, Huangshan, China, May, 1995, pp. 198-204.

13. Carter, C.L., and Hamilton, H.J.
``Fast, Incremental Generalization and Regeneralization for Knowledge Discovery from Databases.'' In Proceedings of the Eighth Florida Artificial Intelligence Research Symposium (FLAIRS-95), Melbourne, FL, April, 1995, pp. 319-323.

12. Hadjimichael, M., Hamilton, H.J. and Cercone, N.J.
``Extracting Concept Hierarchies from Relational Databases.'' In Proceedings of the Eighth Florida Artificial Intelligence Research Symposium (FLAIRS-95), Melbourne, FL, April, 1995, pp. 314-318.

11. Hilderman, R.J., and Hamilton, H.J.
``Distributed Application Entity Groups: Analysis and Simulation Results.'' In Proceedings of the 1995 IEEE International Phoenix Conference on Computers and Communications, Phoenix, AZ, March, 1995, pp. 697-703.

10. Hamilton, H.J., and Zhang, J.
``Learning Pronunciation Rules for English Graphemes using the Version Space Algorithm.'' In Proceedings of the Seventh Florida Artificial Intelligence Research Symposium (FLAIRS-94), Pensacola, FL, May 1994, pp. 76-80.

9. Goodwin, S.D., Hamilton, H.J., Neufeld, E., Sattar, A., and Trudel, A.
``Belief Revision in a Discrete Temporal Probability-Logic,'' Proceedings of the 93 Workshop on Belief Revision: Bridging the Gap between Theory and Practice, AI'93, 1993 Australian Joint Conference on Artificial Intelligence, Melbourne, Australia, November 1993, pp. 103-112. Also appeared in FLAIRS-94, pp. 334-341.

8. Fudger, D.F., and Hamilton, H.J.
``Heuristic Evaluation of Databases for Knowledge Discovery with DBLEARN,'' RSKD'93: International Workshop on Rough Sets and Knowledge Discovery, Banff, Canada, October, 1993, pp. 29-39. Preliminary version of book chapter.

7. Goodwin, S.D., and Hamilton, H.J.
``An Inheritance Mechanism for Default Reasoning that Learns,'' International Symposium on Artificial Intelligence, Monterrey, Mexico, September, 1993, pp. 234-239.

6. Goodwin, S.D., and Hamilton, H.J.
``Q-SIS: A Qualitative Statistical Inheritance System,'' Proceedings of the Sixth Florida Artificial Intelligence Research Symposium (FLAIRS-93), Ft. Lauderdale, Florida, April, 1993, pp. 17-21.

5. Hamilton, H.J., and Dyck, J.M.
``IIPS: A Framework for Specifying Inductive-Inference Problems,'' in W.W. Koczkodaj, P.E. Lauer, and A.A. Toptsis, editors, Computing and Information, ICCI'92, IEEE, Toronto, May, 1992, pp. 240-243. Preliminary, short version of journal paper. (citeseer impact rating 0.17 for ICCI)

4. Hamilton, H.J., and Dyck, J.M.
``Using the IIPS Framework to Specify Machine-Discovery Problems,'' in Proceedings ICCI '92 Fourth International Conference on Computing and Information. IEEE Computer Society Press, Toronto, May, 1992, pp. 266-269. (citeseer impact rating 0.17 for ICCI)

3. Hamilton, H.J.
``A Knowledge-Based Approach to Choosing Hashing Functions,'' in Proceedings of Fifth Florida Artificial Intelligence Research Symposium (FLAIRS-92), Ft. Lauderdale, FL, April 1992, pp. 287-290.

2. Dyck, J.M., and Hamilton, H.J.
``Using Subgoal Ordering to Generate Programming Environment Routines,'' in Proc. of the Fourth International Symposium on Artificial Intelligence: Applications in Informatics, ITESM (Monterrey) and International Joint Conferences on Artificial Intelligence, Cancun, Mexico, November, 1991, pp. 543-549; also in Graduate Review, Centre for Systems Science, Simon Fraser University, November, 1991, pp. 122-134.

1. Hamilton, H.J.
``DATAX: A Framework for Searching for Regularity in Data,'' in CSCSI-90: Proceedings of the Eighth Biennial Conference of the Canadian Society for Computational Studies of Intelligence, Ottawa, May, 1990, pp. 196-203. (citeseer impact rating 0.26 for Canadian AI)

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