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Please use this identifier to cite or link to this item: http://hdl.handle.net/2451/14327
Title: ABSTRACT-DRIVEN PATTERN DISCOVERY IN DATABASES
Authors: Dhar, Vasant
Tuzhilin, Alexander
Issue Date: Mar-1992
Publisher: Stern School of Business, New York University
Series/Report no.: IS-92-11
Abstract: In this paper, we study the problem of discovering interesting patterns in large volumes of data. Patterns can be expressed in user-defined terms and not only in terms of the database schema. The user-defined terminology is stored in a data dictionary that maps it into the language of the database schema. We define a pattern as a deductive rule expressed in user-defined terms that has a degree of certainty associated with it. We present methods of discovering interesting patterns based on abstracts which are summaries of the data expressed in the language of the user.
URI: http://hdl.handle.net/2451/14327
Appears in Collections:IOMS: Information Systems Working Papers

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