Data Mining in Deductive Databases Using Query Flocks: Extended Abstract

Toroslu, İsmail Hakkı
Yetisgen, Meliha
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.
Citation Formats
İ. H. Toroslu and M. Yetisgen, “Data Mining in Deductive Databases Using Query Flocks: Extended Abstract,” NC, Amerika Birleşik Devletleri, 2002, vol. 6, Accessed: 00, 2021. [Online]. Available: