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

Publications of Author

  1. Damien McAullay, Graham J. Williams, Jie Chen, Huidong Jin
    A Delivery Framework for Health Data Mining and Analytics. [Citation Graph (0, 0)][DBLP]
    ACSC, 2005, pp:381-390 [Conf]
  2. Lifang Gu, Jiuyong Li, Hongxing He, Graham J. Williams, Simon Hawkins, Chris Kelman
    Association Rule Discovery with Unbalanced Class Distributions. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2003, pp:221-232 [Conf]
  3. Graham J. Williams, Rohan A. Baxter, Chris Kelman, Chris P. Rainsford, Hongxing He, Lifang Gu, Deanne Vickers, Simon Hawkins
    Estimating Episodes of Care Using Linked Medical Claims Data. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 2002, pp:660-671 [Conf]
  4. Graham J. Williams, Zhexue Huang
    Mining the Knowledge Mine: The Hot Spots Methodology for Mining Large Real World Databases. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 1997, pp:340-348 [Conf]
  5. Jie Chen, Hongxing He, Huidong Jin, Damien McAullay, Graham J. Williams, Chris Kelman
    Identifying Risk Groups Associated with Colorectal Cancer. [Citation Graph (0, 0)][DBLP]
    Selected Papers from AusDM, 2006, pp:260-272 [Conf]
  6. Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams
    Mining Temporal Patterns from Health Care Data. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2002, pp:222-231 [Conf]
  7. Simon Hawkins, Hongxing He, Graham J. Williams, Rohan A. Baxter
    Outlier Detection Using Replicator Neural Networks. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2002, pp:170-180 [Conf]
  8. Hongxing He, Graham J. Williams, Jie Chen, Simon Hawkins, Chris Kelman
    Exploring Possible Adverse Drug Reactions by Clustering Event Sequences. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2004, pp:199-208 [Conf]
  9. Gerrit Riessen, Graham J. Williams, Xin Yao
    PEPNet: Parallel Evolutionary Programming for Constructing Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1997, pp:35-46 [Conf]
  10. Simon Hawkins, Graham J. Williams, Rohan A. Baxter, Peter Christen, Michael J. Fett, Markus Hegland, Fuchun Huang, Ole Møller Nielsen, Tatiana Semenova, Andrew Smith
    Data Mining of Administrative Claims Data for Pathology Services. [Citation Graph (0, 0)][DBLP]
    HICSS, 2001, pp:- [Conf]
  11. Graham J. Williams
    Mining the Data Stream. [Citation Graph (0, 0)][DBLP]
    HIS, 2003, pp:4- [Conf]
  12. Graham J. Williams, Rohan A. Baxter, Hongxing He, Simon Hawkins, Lifang Gu
    A Comparative Study of RNN for Outlier Detection in Data Mining. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:709-712 [Conf]
  13. Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams
    Temporal Data Mining Using Multilevel-Local Polynominal Models. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2000, pp:180-186 [Conf]
  14. Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman
    Mining risk patterns in medical data. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:770-775 [Conf]
  15. Graham J. Williams, Irfan Altas, Sergey Bakin, Peter Christen, Markus Hegland, Alonso Marquez, Peter Milne, Rajehndra Nagappan, Stephen Roberts
    The Integrated Delivery of Large-Scale Data Mining: The ACSys Data Mining Project. [Citation Graph (0, 0)][DBLP]
    Large-Scale Parallel Data Mining, 1999, pp:24-55 [Conf]
  16. Kenji Yamanishi, Jun-ichi Takeuchi, Graham J. Williams, Peter Milne
    On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:320-324 [Conf]
  17. Jie Chen, Hongxing He, Jiuyong Li, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman
    Representing Association Classification Rules Mined from Health Data. [Citation Graph (0, 0)][DBLP]
    KES (3), 2005, pp:1225-1231 [Conf]
  18. Rohan A. Baxter, Graham J. Williams, Hongxing He
    Feature Selection for Temporal Health Records. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2001, pp:198-209 [Conf]
  19. Jie Chen, Hongxing He, Graham J. Williams, Huidong Jin
    Temporal Sequence Associations for Rare Events. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2004, pp:235-239 [Conf]
  20. Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams
    Temporal Data Mining Using Hidden Markov-Local Polynomial Models. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2001, pp:324-335 [Conf]
  21. Tatiana Semenova, Markus Hegland, Warwick Graco, Graham J. Williams
    Conceptual Mining of Large Administrative Health Data. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2004, pp:659-669 [Conf]
  22. Graham J. Williams
    Evolutionary Hot Spots Data Mining - An Architecture for Exploring for Interesting Discoveries. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:184-193 [Conf]
  23. Yunming Ye, Joshua Zhexue Huang, Xiaojun Chen, Shuigeng Zhou, Graham J. Williams, Xiaofei Xu
    Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:189-198 [Conf]
  24. Graham J. Williams, Dickson Lukose
    Artificial Intelligence in Industry. [Citation Graph (0, 0)][DBLP]
    PRICAI Workshops, 2000, pp:3-4 [Conf]
  25. Graham J. Williams, Steven G. Woods
    Representing Expectations in Spatial Information Systems - A Case Study. [Citation Graph (0, 0)][DBLP]
    SSD, 1993, pp:465-476 [Conf]
  26. Graham J. Williams
    Some Experiments in Decision Tree Induction. [Citation Graph (0, 0)][DBLP]
    Australian Computer Journal, 1987, v:19, n:2, pp:84-91 [Journal]
  27. Graham J. Williams
    FrameUP: A Frames Formalism for Expert Systems. [Citation Graph (0, 0)][DBLP]
    Australian Computer Journal, 1989, v:21, n:1, pp:33-40 [Journal]
  28. Kenji Yamanishi, Jun-ichi Takeuchi, Graham J. Williams, Peter Milne
    On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2004, v:8, n:3, pp:275-300 [Journal]
  29. Graham J. Williams
    Templates for Spatial Reasoning in Responsive Geographical Information Systems. [Citation Graph (0, 0)][DBLP]
    International Journal of Geographical Information Systems, 1995, v:9, n:2, pp:117-131 [Journal]
  30. Sergey Bakin, Markus Hegland, Graham J. Williams
    Mining taxation data with parallel BMARS. [Citation Graph (0, 0)][DBLP]
    Parallel Algorithms Appl., 2000, v:15, n:1-2, pp:37-55 [Journal]

  31. Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study. [Citation Graph (, )][DBLP]


  32. ReDSOM: Relative Density Visualization of Temporal Changes in Cluster Structures Using Self-Organizing Maps. [Citation Graph (, )][DBLP]


  33. Exploratory Hot Spot Profile Analysis Using Interactive Visual Drill-Down Self-Organizing Maps. [Citation Graph (, )][DBLP]


  34. A Survey of Open Source Data Mining Systems. [Citation Graph (, )][DBLP]


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