Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Mining Emerging Gradual Patterns

Authors
Anne Laurent, Marie-Jeanne Lesot, Maria Rifqi
Corresponding Author
Anne Laurent
Available Online June 2015.
DOI
https://doi.org/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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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-77-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.234How to use a DOI?
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/).

Cite this article

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  - https://doi.org/10.2991/ifsa-eusflat-15.2015.234
ID  - Laurent2015/06
ER  -