Nicolas PASQUIER – Université Nice Sophia-Antipolis
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FIST

Frequent Itemset mining using Suffix-Trees

Description

Implementation of the FIST application for integrated extraction of conceptual bi-clusters and association rules from massive data repositories.

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Reference

Kartick Chandra Mondal, Nicolas Pasquier, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay. A New Approach for Association Rule Mining and Bi-clustering using Formal Concept Analysis in Proceedings of the MLDM'2012 International Conference on Machine Learning and Data Mining, LNAI 7376, pages 86-101, Springer, Berlin, Germany, 13-20 july 2012, ISBN 978-3-642-31536-7

Related Publications

Algorithms for Data Mining and Bio-informatics, Kartick Chandra Mondal, PhD Thesis, Université de Nice Sophia Antipolis, 2013.

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