Interactive Constrained Association Rule Mining
Databases
2007-05-23 v2 Artificial Intelligence
Abstract
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.
Keywords
Cite
@article{arxiv.cs/0112011,
title = {Interactive Constrained Association Rule Mining},
author = {Bart Goethals and Jan Van den Bussche},
journal= {arXiv preprint arXiv:cs/0112011},
year = {2007}
}
Comments
A preliminary report on this work was presented at the Second International Conference on Knowledge Discovery and Data Mining (DaWaK 2000)