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

A Study of Negative Association Rules Mining Algorithm Based on Multi-Database

Authors
Xushan Peng, Ping Cheng, Maoji Wang
Corresponding Author
Xushan Peng
Available Online May 2014.
DOI
10.2991/iccia.2012.413How to use a DOI?
Keywords
data mining, negative association rules, multi-database
Abstract

the mutual exclusion relationships among data items are reflected by negative association rules, whitch is very important on the decision-making analysis. In the last several years, negative association rules are frequently researched, while the study object of it is single mining of database now. With the development of database technology, multi-database mining is more and more important. On the basis of analyzing the related technology, research status and shortage of present negative association rules mining , the selecting rules, weighted synthesis and algorithm are discussed on multi-datobase.

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
10.2991/iccia.2012.413
ISSN
1951-6851
DOI
10.2991/iccia.2012.413How 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  - Xushan Peng
AU  - Ping Cheng
AU  - Maoji Wang
PY  - 2014/05
DA  - 2014/05
TI  - A Study of Negative Association Rules Mining Algorithm Based on Multi-Database
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 1658
EP  - 1661
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.413
DO  - 10.2991/iccia.2012.413
ID  - Peng2014/05
ER  -