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An Efficient Closed Frequent Itemset Miner for the Moa Stream Mining System
Massimo Quadrana, Albert Bifet, Ricard Gavaldà
203 - 212
10.3233/978-1-61499-320-9-203
Frontiers in Artificial Intelligence and Applications
Volume 256: Artificial Intelligence Research and Development
Abstract

We describe and evaluate an implementation of the IncMine algorithm due to Cheng, Ke, and Ng (2008) for mining frequent closed itemsets from data streams, working on the MOA platform. The goal was to produce a robust, efficient, and usable tool for that task that can both be used by practitioners and used for evaluation of research in the area. We experimentally confirm the excellent performance of the algorithm and its ability to handle concept drift.

$35.00 / €27.50 / £22.00
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