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Note: Links lead to the DBLP on the Web. Graham J. Williams 20 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. Australian Joint Conference on Artificial Intelligence 2002 : 660-671 19 Simon Hawkins , Hongxing He , Graham J. Williams, Rohan A. Baxter : Outlier Detection Using Replicator Neural Networks. DaWaK 2002 : 170-180 18 Weiqiang Lin , Mehmet A. Orgun , Graham J. Williams: Mining Temporal Patterns from Health Care Data. DaWaK 2002 : 222-231 17 Graham J. Williams, Rohan A. Baxter , Hongxing He , Simon Hawkins , Lifang Gu : A Comparative Study of RNN for Outlier Detection in Data Mining. ICDM 2002 : 709-712 16 Ryszard Kowalczyk , Seng Wai Loke , Nancy E. Reed , Graham J. Williams: Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader, Four Workshops held at PRICAI 2000, Melbourne, Australia, August 28 - September 1, 2000, Revised Papers. Springer 2001 15 David Wai-Lok Cheung , Graham J. Williams, Qing Li : Knowledge Discovery and Data Mining - PAKDD 2001, 5th Pacific-Asia Conference, Hong Kong, China, April 16-18, 2001, Proceedings. Springer 2001 14 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. HICSS 2001 13 Rohan A. Baxter , Graham J. Williams, Hongxing He : Feature Selection for Temporal Health Records. PAKDD 2001 : 198-209 12 Weiqiang Lin , Mehmet A. Orgun , Graham J. Williams: Temporal Data Mining Using Hidden Markov-Local Polynomial Models. PAKDD 2001 : 324-335 11 Weiqiang Lin , Mehmet A. Orgun , Graham J. Williams: Temporal Data Mining Using Multilevel-Local Polynominal Models. IDEAL 2000 : 180-186 10 Kenji Yamanishi , Jun-ichi Takeuchi , Graham J. Williams, Peter Milne : On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms. KDD 2000 : 320-324 9 Graham J. Williams, Dickson Lukose : Artificial Intelligence in Industry. PRICAI Workshops 2000 : 3-4 8 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. Large-Scale Parallel Data Mining 1999 : 24-55 7 Graham J. Williams: Evolutionary Hot Spots Data Mining - An Architecture for Exploring for Interesting Discoveries. PAKDD 1999 : 184-193 6 Graham J. Williams, Zhexue Huang : Mining the Knowledge Mine: The Hot Spots Methodology for Mining Large Real World Databases. Australian Joint Conference on Artificial Intelligence 1997 : 340-348 5 Gerrit Riessen , Graham J. Williams, Xin Yao : PEPNet: Parallel Evolutionary Programming for Constructing Artificial Neural Networks. Evolutionary Programming 1997 : 35-46 4 Graham J. Williams: Templates for Spatial Reasoning in Responsive Geographical Information Systems. International Journal of Geographical Information Systems 9 (2): 117-131 (1995) 3 Graham J. Williams, Steven G. Woods : Representing Expectations in Spatial Information Systems - A Case Study. SSD 1993 : 465-476 2 Graham J. Williams: FrameUP: A Frames Formalism for Expert Systems. Australian Computer Journal 21 (1): 33-40 (1989) 1 Graham J. Williams: Some Experiments in Decision Tree Induction. Australian Computer Journal 19 (2): 84-91 (1987)  DiSC'03 © 2003 Association for Computing Machinery |
