Research on association rules based on Complex Networks

DOI

10.2991/wartia-16.2016.326How to use a DOI?

Keywords

association rules, complex networks, community detection

Abstract

In most cases, the association rules mining (ARM) will generate a large number of rules, most of which are of no interest. In order to find the interesting rules from the large-scale association rules more effectively, this manuscript presents a new method to research the association rules based on Complex Networks. The proposed method first illustrate the association rules by complex networks, and then puts forward a kind of community detection algorithm, which is aim to get the relationship and classification of the result rules. Thus we can locate the interesting patterns more quickly and accurately. Meanwhile, this method also provides a visualization process of the association rules. The experimental results demonstrate that this new method with complex networks can group the result rules and find out the interest patterns more intuitively and efficiently.

Copyright

© 2016, 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/).

Download article (PDF)

TY  - CONF
AU  - Zhenwei Yi
AU  - Lingyun Wei
AU  - Lizhu Wang
PY  - 2016/05
DA  - 2016/05
TI  - Research on association rules based on Complex Networks
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1627
EP  - 1632
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.326
DO  - 10.2991/wartia-16.2016.326
ID  - Yi2016/05
ER  -