LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets

I
ICDM
2004
Fourth IEEE International Conference on Data Mining (ICDM'04)
Abstract - LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets

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Fourth IEEE International Conference on Data Mining (ICDM'04)

Brighton, United Kingdom

November 01-November 04

ISBN: 0-7695-2142-8

	ASCII Text	x
	Amol Ghoting, Matthew Eric Otey, Srinivasan Parthasarathy, "LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets," Data Mining, IEEE International Conference on, pp. 387-390, Fourth IEEE International Conference on Data Mining (ICDM'04), 2004.

	BibTex	x
	@article{ 10.1109/ICDM.2004.10011, author = {Amol Ghoting and Matthew Eric Otey and Srinivasan Parthasarathy}, title = {LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets}, journal ={Data Mining, IEEE International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2142-8}, pages = {387-390}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2004.10011}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining, IEEE International Conference on TI - LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets SN - 0-7695-2142-8 SP387 EP390 A1 - Amol Ghoting, A1 - Matthew Eric Otey, A1 - Srinivasan Parthasarathy, PY - 2004 KW - null VL - 0 JA - Data Mining, IEEE International Conference on ER -

Amol Ghoting, The Ohio State University

Matthew Eric Otey, The Ohio State University

Srinivasan Parthasarathy, The Ohio State University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2004.10011

In this paper, we present LOADED, an algorithm for outlier detection in evolving data sets containing both continuous and categorical attributes. LOADED is a tunable algorithm, wherein one can trade off computation for accuracy so that domain-specific response times are achieved. Experimental results show that LOADED provides very good detection and false positive rates, which are several times better than those of existing distance-based schemes.

Citation:

Amol Ghoting, Matthew Eric Otey, Srinivasan Parthasarathy, "LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets," icdm, pp.387-390, Fourth IEEE International Conference on Data Mining (ICDM'04), 2004

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