Mining Distance-Based Outliers in Near Linear Time with Randomization and a Simple Pruning Rule (2003)

by Stephen D. Bay , Mark Schwabacher
Citations:105 - 4 self

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Mining Distance-Based Outliers in Near Linear Time withRandomization and a Simple Pruning Rule – unknown authors
Near Linear Time Detection of Distance-Based Outliers and Applications to Security Abstract – Stephen D. Bay, Mark Schwabacher
199 Anomaly Detection: A Survey – Varun Chandola, Arindam Banerjee, Vipin Kumar - 2007
1 Outlier Detection: A Survey – Varun Chandola, Arindam Banerjee, Vipin Kumar - 2007
4. Striking Two Birds With One Stone: Simultaneous Mining of Positive and Negative – Pei Sun, Pei Sun, Pei Sun, Sanjay Chawla, Bavani Arunasalam, Pei Sun, Sanjay Chawla, Bavani Arunasalam, Sanjay Chawla, Pei Sun, Robert Munro, Sanjay Chawla, Pei Sun - 2006
unknown title – unknown authors
562 Multidimensional Access Methods – Volker Gaede, Oliver G√ľnther - 1998
503 Comparison of discrimination methods for the classification of tumors using gene expression data – Sandrine Dudoit, Jane Fridlyand, Terence P. Speed - 2002
1056 Instance-based learning algorithms – David W. Aha, Dennis Kibler, Marc K. Albert - 1991