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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14327
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| 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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