Interactive Constrained Association Rule Mining
Bart Goethals, Jan Van den Bussche · arXiv (Cornell University) · 2001
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.