Proceedings of the International Conference on Education, Management, Commerce and Society

Analysis of Knowledge Data Discovery and Mining by Construction of Natural Language Understanding System

Authors
Qiufen Wang, Huiling Guo
Corresponding Author
Qiufen Wang
Available Online January 2015.
DOI
10.2991/emcs-15.2015.128How to use a DOI?
Keywords
Natural language understanding; Data mining; Knowledge discovery; Syntax analysis; Tagging
Abstract

Natural language understanding mainly studies the language communicative process simulation of people with electronic computer, and the computer is able to understand and use the natural language of the human society. This paper analyzes the basic components and functions of knowledge discovery and data mining application system. The paper presents analysis of knowledge data discovery and mining by construction of natural language understanding system. The experimental results show that this method can improve efficiency of knowledge discovery system.

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 International Conference on Education, Management, Commerce and Society
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2015
ISBN
10.2991/emcs-15.2015.128
ISSN
2352-5398
DOI
10.2991/emcs-15.2015.128How 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  - Qiufen Wang
AU  - Huiling Guo
PY  - 2015/01
DA  - 2015/01
TI  - Analysis of Knowledge Data Discovery and Mining by Construction of Natural Language Understanding System
BT  - Proceedings of the International Conference on Education, Management, Commerce and Society
PB  - Atlantis Press
SP  - 632
EP  - 636
SN  - 2352-5398
UR  - https://doi.org/10.2991/emcs-15.2015.128
DO  - 10.2991/emcs-15.2015.128
ID  - Wang2015/01
ER  -