What makes patterns interesting in knowledge discovery systems

What makes patterns interesting in knowledge discovery systems (1996)

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by Avi Silberschatz , Alexander Tuzhilin

Venue:	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
Citations:	192 - 9 self

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Datum	Value	Source
TITLE	What makes patterns interesting in knowledge discovery systems	INFERENCE
AUTHOR NAME	Avi Silberschatz	user correction
AUTHOR AFFIL	Bell Laboratories Information Systems Department; 600 Mountain Avenue	user correction
AUTHOR ADDR	Stern School of Business; Murray Hill, NJ New York University	user correction
AUTHOR NAME	Alexander Tuzhilin	user correction
AUTHOR AFFIL	Bell Laboratories Information Systems Department; 600 Mountain Avenue	user correction
AUTHOR ADDR	Stern School of Business; Murray Hill, NJ New York University	user correction
ABSTRACT	One of the central problems in the eld of knowledge discovery is the development ofgood measures of interestingness of discovered patterns. Such measures of interestingness are divided into objective measures -- those that depend only on the structure of a pattern and the underlying data used in the discovery process, and the subjective measures -- those that also depend on the class of users who examine the pattern. The focus of this paper is on studying subjective measures of interestingness. These measures are classified into actionable and unexpected, and the relationship between them is examined. The unexpected measure of interestingness is defined in terms of the belief system that the user has. Interestingness of a pattern is expressed in terms of how it affects the belief system. The paper also discusses how this unexpected measure of interestingness can be used in the discovery process.	user correction
YEAR	1996	INFERENCE
VENUE	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING	user correction
VENUE TYPE	JOURNAL	INFERENCE
PAGES	970--974	INFERENCE
VOLUME	8	INFERENCE
CITATIONS	16 found	ParsCit 1.0