Title

Efficient Mining of Niches and Set Routines

Document Type

Conference Proceeding

Publication Date

4-2001

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Abstract

It is widely recognized that successful businesses usually fall into set routines and become limited by their past. To remain successful, they need to discover new opportunities and niches. Niches aresurprising rules that contradict the set routines; they capture significant, representative client sectors that deserve new, more profitable treatments; they are not merely strong-rule and exception pairs. In this paper we study the efficient mining of set routines and niches. We also introduce a semantic approach to select a set of representative patterns, and present an efficient incremental algorithm to implement the approach.

Comments

Presented at the 5th Pacific Asia Conference on Advances in Knowledge Discovery and Data Mining, Hong Kong, April 16-18, 2001.

DOI

10.1007/3-540-45357-1_27

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