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CURIO : A Fast Outlier and Outlier Cluster Detection Algorithm for Large Datasets∗ Aaron Ceglar, John F. Roddick and David M.W. Powers School of Informatics and Engineering, Flinders University, PO Box 2100, Adelaide,
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Document Date: 2012-01-19 01:28:41

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University of British Columbia / Flinders University / /

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outlier detection tool / spatial data mining / outlier detection algorithms / binary search trees / neural networks / data mining / evolutionary algorithm / outlier detection algorithm / detection using replicator neural networks / seminal algorithm / neural network / neighborhood search / pre-processing optimisation / internet usage data / post-processing / mining / detection algorithms / Internet Usage Dataset / search space / /

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MIT / Flinders University / David M.W. Powers School of Informatics and Engineering / IEEE Computer Society / University of British Columbia / /

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Barnett / V / Hand / John F. Roddick / Morgan Kaufmann / P. Domingos / /

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outlier detection algorithm / previous LOF algorithm / evolutionary algorithm / Information Technology / CURIO algorithm / neural network / seminal algorithm / artificial intelligence / Java / extended Outlier Discovery algorithm / Outlier Cluster Detection Algorithm / tolerance adjustment The CURIO algorithm / existing algorithms / Cell Identifier Construction Algorithm / data mining / 4 CURIO The CURIO algorithm / 2 Previous Work Outlier detection algorithms / outlier detection algorithms / /

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