Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

Optimized algorithm for Mining Valid and non-Redundant Rules

Authors
Naili Liu, Lei Ma
Corresponding Author
Naili Liu
Available Online May 2014.
DOI
10.2991/iccia.2012.207How to use a DOI?
Keywords
data mining, association rule, correlation, redundancy, efficient,negative
Abstract

The traditional algorithm of mining association rules, or slowly produces association rules, or produces too many redundant rules, or it is probable to find an association rule, which posses high support and confidence, but is uninteresting, and even is false. Furthermore, a rule with negative-item can’t be produced. This paper puts forward a new algorithm MVNR(Mining Valid and non-Redundant Association Rules Algorithm),which primely solves above problems by using the minimal subset of frequent itemset.

Copyright
© 2013, 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 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
10.2991/iccia.2012.207How to use a DOI?
Copyright
© 2013, 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  - Naili Liu
AU  - Lei Ma
PY  - 2014/05
DA  - 2014/05
TI  - Optimized algorithm for Mining Valid and non-Redundant Rules
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 851
EP  - 854
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.207
DO  - 10.2991/iccia.2012.207
ID  - Liu2014/05
ER  -