Mining Hierarchical Negative Association Rules

DOI

10.1080/18756891.2012.696905How to use a DOI?

Keywords

Association Rules, Negative Association Rules, Hierarchical Association Rules, Frequent Itemset, Patterns, Data Mining

Abstract

The negative association between items in databases is as important and interesting as the positive one. But, it has not been studied as much. We consider negative association in a hierarchical setting, in which we are able to generate negative association rules at different hierarchy levels. It allows to impose restrictions when we proceed to the next level and discover only most interesting negative association rules among the vast number of possible negative association rules. In this paper, we propose two algorithms for mining negative association rules by considering that items are organized in a hierarchy, and this hierarchy is reflected on the association rules we produce. In this way, we can mine for both general and specialized rules of negative association between items.

Copyright

© 2017, 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  - JOUR
AU  - David Taniar
AU  - Wenny Rahayu
AU  - Olena Daly
AU  - Hong-Quang Nguyen
PY  - 2012
DA  - 2012/06/01
TI  - Mining Hierarchical Negative Association Rules
JO  - International Journal of Computational Intelligence Systems
SP  - 434
EP  - 451
VL  - 5
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2012.696905
DO  - 10.1080/18756891.2012.696905
ID  - Taniar2012
ER  -