Proceedings of the 2012 National Conference on Information Technology and Computer Science

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A Study On Data Mining Algorithm Gragh-based

Authors
Qiuyu Tang, Yifan Tang
Corresponding Author
Qiuyu Tang
Available Online November 2012.
DOI
10.2991/citcs.2012.85How to use a DOI?
Keywords
data mining; algorithm; graph; Apriori
Abstract

In computer science, graph is one of the most complex data structures. But graph can be used in research and in bussiness because of its intuitive expression. It is a focus in data mining how to derive the interesting subgraph patterns from a great number of graphs. This article introduces a data mining algorithm based on graph which ueses the graph theory to improve the classic Apriori algorithm. And this algorithm can mine frequent subgraph patterns effectively.

Copyright
© 2012, 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 National Conference on Information Technology and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
10.2991/citcs.2012.85
ISSN
1951-6851
DOI
10.2991/citcs.2012.85How to use a DOI?
Copyright
© 2012, 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

risenwbib
TY  - CONF
AU  - Qiuyu Tang
AU  - Yifan Tang
PY  - 2012/11
DA  - 2012/11
TI  - A Study On Data Mining Algorithm Gragh-based
BT  - Proceedings of the 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 324
EP  - 327
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.85
DO  - 10.2991/citcs.2012.85
ID  - Tang2012/11
ER  -