Mining Emerging Gradual Patterns

DOI

10.2991/ifsa-eusflat-15.2015.234How to use a DOI?

Keywords

Gradual Patterns, Emerging Patterns, Discriminant Characterisation.

Abstract

Mining emerging patterns aims at contrasting data sets and identifying itemsets that characterise a data set by contrast to a reference data set, so as to capture and highlight their differences. This paper considers the case of emerging gradual patterns, to extract discriminant attribute co-variations. It discusses the specific features of these gradual patterns and proposes to transpose an efficient border-based algorithm, justifying its applicability to the gradual case. Illustrative results obtained from a UCI data set are described.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Anne Laurent
AU  - Marie-Jeanne Lesot
AU  - Maria Rifqi
PY  - 2015/06
DA  - 2015/06
TI  - Mining Emerging Gradual Patterns
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1644
EP  - 1650
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.234
DO  - 10.2991/ifsa-eusflat-15.2015.234
ID  - Laurent2015/06
ER  -