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 |
Files in This Item:
File | Description | Size | Format | |
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IS-92-11.pdf | 3.53 MB | Adobe PDF | View/Open |
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