Proceedings of the 3rd International Conference on Computer Science and Service System

The design and implementation of the analysis system of data-providing behavior based on data mining

Authors
Xiaoguo Wang, Chuan Sun, Dandan Zhang
Corresponding Author
Xiaoguo Wang
Available Online June 2014.
DOI
10.2991/csss-14.2014.61How to use a DOI?
Keywords
data warehouse; version control; data comparison; data mining; behavior analysis
Abstract

In this paper, we conduct the analysis of the behavior of data providers in a given period of time, utilizing the theory of data warehouse, data mining, version control and data comparison. We classify data providers via decision tree, then designing and implementing the whole analysis system of data-providing behavior. The system can automatically receive and integrate data from various sources according to the classification of data providers, which provides an effective way for the prediction system of the set of undergraduate professional to receive and manage incoming data better.

Copyright
© 2014, 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 3rd International Conference on Computer Science and Service System
Series
Advances in Intelligent Systems Research
Publication Date
June 2014
ISBN
10.2991/csss-14.2014.61
ISSN
1951-6851
DOI
10.2991/csss-14.2014.61How to use a DOI?
Copyright
© 2014, 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  - Xiaoguo Wang
AU  - Chuan Sun
AU  - Dandan Zhang
PY  - 2014/06
DA  - 2014/06
TI  - The design and implementation of the analysis system of data-providing behavior based on data mining
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 261
EP  - 264
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.61
DO  - 10.2991/csss-14.2014.61
ID  - Wang2014/06
ER  -