Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering

A New Method of Text Feature Selection for Knowledge Discovery

Authors
Li Zhang, Xing Liu, Rong An, Xin Zhao, Kejia Yi
Corresponding Author
Li Zhang
Available Online April 2015.
DOI
10.2991/isrme-15.2015.363How to use a DOI?
Keywords
knowledge discovery; data mining; information model
Abstract

In the paper, we considered the problem to model the text document for knowledge discovery. It is urgent problem to find valuable information knowledge in the mass text documents. Data mining based on eigenvector is widely used to mine association between information of mass documents as much as possible for knowledge discovery. However, traditional information model methods for text are hard to achieve the feature vector for some special knowledge discovery task. This paper proposed a new feature selection method of text for knowledge discovery, which is useful to find the valuable words of the text for the special knowledge discovery. In addition, the dimension of the feature vector has been reduced by proposed method, which is of great help to improve the efficiency of data mining effectively.

Copyright
© 2015, 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 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
10.2991/isrme-15.2015.363
ISSN
1951-6851
DOI
10.2991/isrme-15.2015.363How to use a DOI?
Copyright
© 2015, 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  - Li Zhang
AU  - Xing Liu
AU  - Rong An
AU  - Xin Zhao
AU  - Kejia Yi
PY  - 2015/04
DA  - 2015/04
TI  - A New Method of Text Feature Selection for Knowledge Discovery
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 1787
EP  - 1790
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.363
DO  - 10.2991/isrme-15.2015.363
ID  - Zhang2015/04
ER  -