Title

Data Mining In Deductive Databases Using Query Flocks: Extended Abstract

Abstract

An important technique for extracting useful information, such as regularities, from usually historical data, is called as association rule mining. The query flocks technique, which extends the concept of association rule mining with a "generate-and-test" model for different kind of patterns, can also be applied to deductive databases. In this paper, query flocks technique is extended further, with view definitions including recursive views. We have designed architecture to compile query flocks from datalog into SQL in order to be able to use commercially available DBMS's as an underlying engine. Since recursive datalog views (IDB's) cannot be converted directly into SQL statements, they are materialized before the final compilation operation.

Publication Date

12-1-2002

Publication Title

Proceedings of the Joint Conference on Information Sciences

Volume

6

Number of Pages

494-497

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

1642409373 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/1642409373

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