High Frequency Patterns in Data Mining

High Frequency Patterns in Data Mining

Tsau Young Lin (San Jose State University, USA)
Copyright: © 2005 |Pages: 6
DOI: 10.4018/978-1-59140-557-3.ch106
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Abstract

The principal focus is to examine the foundation of association (rule) mining (AM) via granular computing (GrC). The main results is: The set of all high frequency patterns can be found by sloving linear inequalities within a polynomial time.

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