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Abstract: Business establishments collect vast amounts of data every day. Leveraging this data for smart decision making is the key to identifying profit opportunities, customer retention and giving a winning touch to the business. The path from large amounts of data to Knowledge Discovery is Information Mining, using a sophisticated set of tools to uncover associations, patterns, and trends; detect deviations; cluster and classify information; and develop predictive models. With the increase in the size ... (Update)
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BibTeX entry: (Update)
@misc{ nagesh-high,
author = "Harsha S. Nagesh",
title = "High Performance Subspace Clustering for Massive Data Sets",
url = "citeseer.ist.psu.edu/nagesh99high.html" }
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Documents on the same site (http://www.ece.nwu.edu/~harsha/):
MAFIA: Efficient and Scalable Subspace Clustering for.. - Goil, Nagesh, Choudhary (1999) (Correct)
A Scalable Parallel Subspace Clustering Algorithm for.. - Nagesh, Goil, Choudhary (2000) (Correct)
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