Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Data Mining of the Association Rules Based on the Cloud Database

Authors
Tianxiang Zhu, Shuhui Sun, Dan Zhang, Xin Liu
Corresponding Author
Tianxiang Zhu
Available Online March 2013.
DOI
10.2991/iccsee.2013.387How to use a DOI?
Keywords
Cloud Database, Cloud computing, data mining, association rules
Abstract

Cloud computing is the latest trend in IT technical development, the importance of cloud databases has been widely acknowledged. There are numerous data in the cloud database and among these data, much potential and valuable knowledge are implicit. The key point is to discover and pick up the useful knowledge automatically. An association rule is one of the main models in mining out these data, and it mainly focuses on the relationship among different areas in the data. This paper puts forward the basic model of data mining based on association rules in cloud database and introduces corresponding mining algorithms.

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 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/iccsee.2013.387
ISSN
1951-6851
DOI
10.2991/iccsee.2013.387How 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  - Tianxiang Zhu
AU  - Shuhui Sun
AU  - Dan Zhang
AU  - Xin Liu
PY  - 2013/03
DA  - 2013/03
TI  - Data Mining of the Association Rules Based on the Cloud Database
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1541
EP  - 1544
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.387
DO  - 10.2991/iccsee.2013.387
ID  - Zhu2013/03
ER  -