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Stephen D. Bay

Papers on DiSC'04


Mining distance-based outliers in near linear time with randomization and a simple pruning rule

Publications


Note: Links lead to the DBLP on the Web.

Stephen D. Bay

Dileep George , Kazumi Saito , Pat Langley , Stephen D. Bay, Kevin R. Arrigo : Discovering Ecosystem Models from Time-Series Data. Discovery Science 2003 : 141-152

Kazumi Saito , Dileep George , Stephen D. Bay, Jeff Shrager : Inducing Biological Models from Temporal Gene Expression Data. Discovery Science 2003 : 468-469

Pat Langley , Dileep George , Stephen D. Bay, Kazumi Saito : Robust Induction of Process Models from Time-Series Data. ICML 2003 : 432-439

Stephen D. Bay, Mark Schwabacher : Mining distance-based outliers in near linear time with randomization and a simple pruning rule. KDD 2003 : 29-38

Lonnie Chrisman , Pat Langley , Stephen D. Bay: Incorporating Biological Knowledge into Evaluation of Causal Regulatory Hypotheses. Pacific Symposium on Biocomputing 2003 : 128-139

Kazumi Saito , Stephen D. Bay, Pat Langley : Revising Qualitative Models of Gene Regulation. Discovery Science 2002 : 59-70

Stephen D. Bay, Daniel G. Shapiro , Pat Langley : Revising Engineering Models: Combining Computational Discovery with Knowledge. ECML 2002 : 10-22

Stephen D. Bay, Jeff Shrager , Andrew Pohorille , Pat Langley : Revising regulatory networks: from expression data to linear causal models. Journal of Biomedical Informatics 35 (5-6): 289-297 (2002)

Stephen D. Bay, Michael J. Pazzani : Detecting Group Differences: Mining Contrast Sets. Data Min. Knowl. Discov. 5 (3): 213-246 (2001)

Stephen D. Bay: Multivariate Discretization for Set Mining. Knowl. Inf. Syst. 3 (4): 491-512 (2001)

Stephen D. Bay, Michael J. Pazzani : Characterizing Model Erros and Differences. ICML 2000 : 49-56

Stephen D. Bay: Multivariate discretization of continuous variables for set mining. KDD 2000 : 315-319

Stephen D. Bay, Dennis F. Kibler , Michael J. Pazzani , Padhraic Smyth : The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation. SIGKDD Explorations 2 (2): 81-85 (2000)

Stephen D. Bay, Michael J. Pazzani : Detecting Change in Categorical Data: Mining Contrast Sets. KDD 1999 : 302-306

Stephen D. Bay: Nearest neighbor classification from multiple feature subsets. Intell. Data Anal. 3 (3): 191-209 (1999)

Stephen D. Bay: Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets. ICML 1998 : 37-45

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