Interactive Constrained Association Rule Mining

Thumbnail Image

Date

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

We investigate ways to support interactive mining sessions, in the setting of association rule mining. In such sessions, users specify conditions (queries) on the associations to be generated. Our approach is a combination of the integration of querying conditions inside the mining phase, and the incremental querying of already generated associations. We present several concrete algorithms and compare their performance.
A preliminary report on this work was presented at the Second International Conference on Knowledge Discovery and Data Mining (DaWaK 2000)

Keywords

Databases, Artificial Intelligence, H.2.8

Citation

URI

http://salesiana.dossiersoluciones.com/handle/123456789/30945

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0112011
 http://arxiv.org/abs/cs/0112011

Collections

arXiv