Mining Emerging Gradual Patterns
- https://doi.org/10.2991/ifsa-eusflat-15.2015.234How to use a DOI?
- Gradual Patterns, Emerging Patterns, Discriminant Characterisation.
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.
- © 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 -