The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
Howard J. Hamilton: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone
    Using Rough Sets as Tools for Knowledge Discovery. [Citation Graph (1, 0)][DBLP]
    KDD, 1995, pp:263-268 [Conf]
  2. Brock Barber, Howard J. Hamilton
    Attribute Selection Strategies fro Attribute-Oriented Generalization. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 1996, pp:429-441 [Conf]
  3. Liqiang Geng, Howard J. Hamilton
    Finding Interesting Summaries in GenSpace Graphs Efficiently. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2004, pp:89-104 [Conf]
  4. Linhui Jiang, Howard J. Hamilton
    Methods for Mining Frequent Sequential Patterns. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2003, pp:486-491 [Conf]
  5. Kamran Karimi, Howard J. Hamilton
    RFCT: An Association-Based Causality Miner. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2002, pp:334-338 [Conf]
  6. Kamran Karimi, Howard J. Hamilton
    Discovering Temporal/Causal Rules: A Comparison of Methods. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2003, pp:175-189 [Conf]
  7. Jian Zhang, Howard J. Hamilton
    Learning English Syllabification Rules. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 1998, pp:246-258 [Conf]
  8. Xin Wang, Howard J. Hamilton
    A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2005, pp:120-132 [Conf]
  9. Xin Wang, Howard J. Hamilton
    Towards an Ontology-Based Spatial Clustering Framework. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2005, pp:205-216 [Conf]
  10. Yang Xiang, Xiaohua Hu, Nick Cercone, Howard J. Hamilton
    Learning Pseudo-independent Models: Analytical and Experimental Results. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2000, pp:227-239 [Conf]
  11. Howard J. Hamilton, Ning Shan, Wojciech Ziarko
    Machine Learning of Credible Classifications. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 1997, pp:330-339 [Conf]
  12. Ning Shan, Howard J. Hamilton, Nick Cercone
    Inducing and Using Decision Rules in the GRG Knowledge Discovery System. [Citation Graph (0, 0)][DBLP]
    ECML, 1997, pp:234-241 [Conf]
  13. Howard J. Hamilton
    Interestingness in Data Mining. [Citation Graph (0, 0)][DBLP]
    EGC, 2007, pp:3- [Conf]
  14. Leah Findlater, Howard J. Hamilton
    An Empirical Comparison of Methods for Iceberg-CUBE Construction. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2001, pp:244-248 [Conf]
  15. Avelino J. Gonzalez, Sylvia Daroszewski, Howard J. Hamilton
    Determining the Incremental Worth of Members of an Aggregate Set through Difference-Based Induction. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 1998, pp:245-249 [Conf]
  16. Howard J. Hamilton, Leah Findlater
    Looking Backward, Forward, and All Around: Temporal, Spatial, and Spatio-Temporal Data Mining. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2002, pp:481-485 [Conf]
  17. Howard J. Hamilton, Xuewei Wang, Y. Y. Yao
    WebAdaptor: Designing Adaptive Web Sites Using Data Mining Techniques. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2001, pp:128-132 [Conf]
  18. 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]
  19. 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]
  20. Xin Wang, Howard J. Hamilton
    Clustering Spatial Data in the Presence of Obstacles. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2004, pp:- [Conf]
  21. Howard J. Hamilton, J. Michael Dyck
    Using the IIPS Framework to Specify Machine-Discovery Problems. [Citation Graph (0, 0)][DBLP]
    ICCI, 1992, pp:266-269 [Conf]
  22. Liqiang Geng, Howard J. Hamilton
    ESRS: A Case Selection Algorithm Using Extended Similarity-based Rough Sets. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:609-612 [Conf]
  23. Hong Yao, Howard J. Hamilton, Cory J. Butz
    FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:729-732 [Conf]
  24. Mahesh Shrestha, Howard J. Hamilton, Yiyu Yao, Ken Konkel, Liqiang Geng
    The PDD Framework for Detecting Categories of Peculiar Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:562-571 [Conf]
  25. Guichong Li, Howard J. Hamilton
    Searching for Pattern Rules. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:933-937 [Conf]
  26. 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]
  27. 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]
  28. 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]
  29. Kamran Karimi, Howard J. Hamilton
    TimeSleuth: A Tool for Discovering Causal and Temporal Rules. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2002, pp:375-380 [Conf]
  30. Bradley P. Kram, James A. Hall, Howard J. Hamilton
    Support based measures applied to ice hockey scoring summaries. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2000, pp:352-0 [Conf]
  31. Kamran Karimi, Howard J. Hamilton
    Logical Decision Rules: Teaching C4.5 to Speak Prolog. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2000, pp:85-90 [Conf]
  32. Kamran Karimi, Howard J. Hamilton
    Discovering Temporal Rules from Temporally Ordered Data. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2002, pp:25-30 [Conf]
  33. Howard J. Hamilton, Dee Jay Randall
    Heuristic Selection of Aggregated Temporal Data for Knowledge Discovery. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1999, pp:714-723 [Conf]
  34. Brock Barber, Howard J. Hamilton
    Parametric Algorithms for Mining Share-Frequent Itemsets. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2000, pp:562-572 [Conf]
  35. Brock Barber, Howard J. Hamilton
    A Comparison of Attribute Selection Strategies for Attribute-Oriented Generalization. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1997, pp:106-116 [Conf]
  36. Kamran Karimi, Howard J. Hamilton
    Finding Temporal Relations: Causal Bayesian Networks vs. C4.5. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2000, pp:266-273 [Conf]
  37. Ning Shan, Howard J. Hamilton, Nick Cercone
    Induction of Classification Rules from Imperfect Data. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1996, pp:118-127 [Conf]
  38. Jianna Jian Zhang, Howard J. Hamilton, Nick Cercone
    Learning English Grapheme Segmentation Using the Iterated Version Space Algorithm. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1999, pp:420-429 [Conf]
  39. Jian Zhang, Howard J. Hamilton
    Learning English Syllabification for Words. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1997, pp:177-186 [Conf]
  40. Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone
    Discovering Classification Knowledge in Databases Using Rough Sets. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:271-274 [Conf]
  41. Howard J. Hamilton, Kamran Karimi
    The TIMERS II Algorithm for the Discovery of Causality. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2005, pp:744-750 [Conf]
  42. 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]
  43. 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]
  44. 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]
  45. Kamran Karimi, Howard J. Hamilton
    Distinguishing Causal and Acausal Temporal Relations. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2003, pp:234-240 [Conf]
  46. Xin Wang, Howard J. Hamilton
    DBRS: A Density-Based Spatial Clustering Method with Random Sampling. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2003, pp:563-575 [Conf]
  47. Colin L. Carter, Howard J. Hamilton, Nick Cercone
    Share Based Measures for Itemsets. [Citation Graph (0, 0)][DBLP]
    PKDD, 1997, pp:14-24 [Conf]
  48. Brock Barber, Howard J. Hamilton
    Algorithms for Mining Share Frequent Itemsets Containing Infrequent Subsets. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:316-324 [Conf]
  49. 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]
  50. Howard J. Hamilton, Robert J. Hilderman, Liangchun Li, Dee Jay Randall
    Generalization Lattices. [Citation Graph (0, 0)][DBLP]
    PKDD, 1998, pp:328-336 [Conf]
  51. 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]
  52. Robert J. Hilderman, Howard J. Hamilton
    Heuristic Measures of Interestingness. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:232-241 [Conf]
  53. Xin Wang, Camilo Rostoker, Howard J. Hamilton
    Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:446-458 [Conf]
  54. David R. Fudger, Howard J. Hamilton
    A Heuristic for Evaluating Databases for Knowledge Discovery with DBLEARN. [Citation Graph (0, 0)][DBLP]
    RSKD, 1993, pp:44-51 [Conf]
  55. Cory J. Butz, Hong Yao, Howard J. Hamilton
    Towards Jointree Propagation with Conditional Probability Distributions. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2004, pp:368-377 [Conf]
  56. Kamran Karimi, Julia A. Johnson, Howard J. Hamilton
    A Proposal for Including Behavior in the Process of Object Similarity Assessment with Examples from Artificial Life. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2000, pp:642-646 [Conf]
  57. Y. Y. Yao, Howard J. Hamilton, Xuewei Wang
    PagePrompter: An Intelligent Web Agent Created Using Data Mining Techniques. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2002, pp:506-513 [Conf]
  58. Cory J. Butz, Hong Yao, Howard J. Hamilton
    A Non-local Coarsening Result in Granular Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:686-689 [Conf]
  59. Guichong Li, Howard J. Hamilton
    Basic Association Rules. [Citation Graph (0, 0)][DBLP]
    SDM, 2004, pp:- [Conf]
  60. Hong Yao, Howard J. Hamilton, Cory J. Butz
    A Foundational Approach to Mining Itemset Utilities from Databases. [Citation Graph (0, 0)][DBLP]
    SDM, 2004, pp:- [Conf]
  61. Xin Wang, Christine W. Chan, Howard J. Hamilton
    Design of knowledge-based systems with the ontology-domain-system approach. [Citation Graph (0, 0)][DBLP]
    SEKE, 2002, pp:233-236 [Conf]
  62. 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]
  63. Scott D. Goodwin, Howard J. Hamilton, Eric Neufeld, Abdul Sattar, André Trudel
    Belief Revision in a Discrete Temporal Probability-Logic. [Citation Graph (0, 0)][DBLP]
    TIME, 1994, pp:113-120 [Conf]
  64. Howard J. Hamilton, Liqiang Geng, Leah Findlater, Dee Jay Randall
    Spatio-Temporal Data Mining with Expected Distribution Domain Generalization Graphs. [Citation Graph (0, 0)][DBLP]
    TIME, 2003, pp:181-191 [Conf]
  65. 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]
  66. Howard J. Hamilton, Dee Jay Randall
    Data Mining with Calendar Attributes. [Citation Graph (0, 0)][DBLP]
    TSDM, 2000, pp:117-132 [Conf]
  67. Shannon Blyth, Howard J. Hamilton
    CrowdMixer: Multiple Agent Types in Situation-Based Crowd Simulations. [Citation Graph (0, 0)][DBLP]
    AIIDE, 2006, pp:15-20 [Conf]
  68. Scott D. Goodwin, Howard J. Hamilton
    It's About Time: An Introduction to the Special Issue on Temporal Representation and Reasoning. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 1996, v:12, n:, pp:357-358 [Journal]
  69. Howard J. Hamilton, David R. Fudger
    Estimating DBLEARN's Potential for Knowledge Discovery in Databases. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 1995, v:11, n:, pp:280-296 [Journal]
  70. Liqiang Geng, Howard J. Hamilton
    Interestingness measures for data mining: A survey. [Citation Graph (0, 0)][DBLP]
    ACM Comput. Surv., 2006, v:38, n:3, pp:- [Journal]
  71. Brock Barber, Howard J. Hamilton
    Extracting Share Frequent Itemsets with Infrequent Subsets. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2003, v:7, n:2, pp:153-185 [Journal]
  72. Hong Yao, Howard J. Hamilton
    Mining itemset utilities from transaction databases. [Citation Graph (0, 0)][DBLP]
    Data Knowl. Eng., 2006, v:59, n:3, pp:603-626 [Journal]
  73. Leah Findlater, Howard J. Hamilton
    Iceberg-cube algorithms: An empirical evaluation on synthetic and real data. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2003, v:7, n:2, pp:77-97 [Journal]
  74. 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]
  75. 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]
  76. Xin Wang, Howard J. Hamilton
    Clustering Spatial Data in The Presence of Obstacles. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2005, v:14, n:1-2, pp:177-198 [Journal]
  77. 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]
  78. Howard J. Hamilton, Liqiang Geng, Leah Findlater, Dee Jay Randall
    Efficient spatio-temporal data mining with GenSpace graphs. [Citation Graph (0, 0)][DBLP]
    J. Applied Logic, 2006, v:4, n:2, pp:192-214 [Journal]
  79. Howard J. Hamilton, Demyen Doug
    A machine-discovery approach to the evaluation of hashing techniques. [Citation Graph (0, 0)][DBLP]
    J. Exp. Theor. Artif. Intell., 2005, v:17, n:1-2, pp:45-62 [Journal]
  80. Brock Barber, Howard J. Hamilton
    Parametric Algorithms for Mining Share Frequent Itemsets. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2001, v:16, n:3, pp:277-293 [Journal]
  81. 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]
  82. Colin L. Carter, Howard J. Hamilton
    Efficient Attribute-Oriented Generalization for Knowledge Discovery from Large Databases. [Citation Graph (0, 9)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1998, v:10, n:2, pp:193-208 [Journal]
  83. 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]
  84. Liqiang Geng, Howard J. Hamilton, Larry Korba
    Expectation Propagation in GenSpace Graphs for Summarization. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2007, pp:449-458 [Conf]

  85. Using Dependence Diagrams to Summarize Decision Rule Sets. [Citation Graph (, )][DBLP]


  86. Visualizing Privacy Implications of Access Control Policies in Social Network Systems. [Citation Graph (, )][DBLP]


  87. Generation and Interpretation of Temporal Decision Rules [Citation Graph (, )][DBLP]


  88. Mining functional dependencies from data. [Citation Graph (, )][DBLP]


Search in 0.025secs, Finished in 0.028secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002