A Study of Fuzzy Quantitative Items Based on Weighted Association Rules Mining

DOI

10.2991/icicci-15.2015.10How to use a DOI?

Keywords

Keywords-weighted association rules; weighted support; quantitative itemsets

Abstract

Abstract—The weighted association rules mining is more significative than traditional association rules mining in practice. Allowing for the impact of the number and weight of property on association rules, this paper presents a new method of mining weighted association rules, which can hold the “downward closed property” by using an improved model of weighted support measurements in the weighted setting.Compared to some generalized weighted association rules mining, it proves that the method can quickly and efficiently mine important association rules.

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  - Tianqi Yang
AU  - Chengjun Li
PY  - 2015/09
DA  - 2015/09
TI  - A Study of Fuzzy Quantitative Items Based on Weighted Association Rules Mining
BT  - Proceedings of the 2nd International Conference on Intelligent Computing and Cognitive Informatics
PB  - Atlantis Press
SP  - 42
EP  - 46
SN  - 1951-6851
UR  - https://doi.org/10.2991/icicci-15.2015.10
DO  - 10.2991/icicci-15.2015.10
ID  - Yang2015/09
ER  -