Why Fuzzy Sequential Patterns can Help Data Summarization: An Application to the INPI Trade Mark Database

Abstract

Mining fuzzy rules is one of the best ways to summarize large databases while keeping information as clear and understandable as possible for the end-user. Several approaches have been proposed to mine such fuzzy rules, in particular to mine fuzzy association rules. However, we argue that it is important to mine rules that convey information about the order… (More)
DOI: 10.1109/FUZZY.2006.1681787

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Cite this paper

@article{Fiot2006WhyFS, title={Why Fuzzy Sequential Patterns can Help Data Summarization: An Application to the INPI Trade Mark Database}, author={C{\'e}line Fiot and Anne Laurent and Maguelonne Teisseire and B{\'e}n{\'e}dicte Laurent}, journal={2006 IEEE International Conference on Fuzzy Systems}, year={2006}, pages={699-706} }