@inproceedings{3c057df24ff54c77b676e8eddffb29b9,
title = "An efficient closed frequent itemset miner for the moa stream mining system",
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.",
keywords = "Data mining, Data streams, Itemset mining, MOA, Stream mining",
author = "Massimo Quadrana and Albert Bifet and Ricard Gavald{\`a}",
year = "2013",
month = jan,
day = "1",
doi = "10.3233/978-1-61499-320-9-203",
language = "English",
isbn = "9781614993193",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "203--212",
editor = "Karina Gibert and Vicent Botti and Ramon Reig-Bolano",
booktitle = "Artificial Intelligence Research and Development. Proceedings of the 16th International Conference of the Catalan Association for Artificial Intelligence",
}