Model analysis of intelligent data mining based on semantic segmentation technology

DOI

10.2991/meic-15.2015.205How to use a DOI?

Keywords

Segmentation; Data mining; Natural language understanding; Association rule; Semantic network

Abstract

Intelligent data mining model is designed from the source database mining association rules that satisfy the minimum support and minimum confidence. Semantic segmentation technology is through the analysis to find out the meaning, structure meaning and significance of the combination, so as to determine the true meaning or concept of the expression language. Phrase structural method is a phrase collocation rules. A sentence is a sentence with the word or phrase rules. The paper presents model analysis of intelligent data mining based on semantic segmentation technology. Experiments show that the proposed method is effective.

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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TY  - CONF
AU  - Tianshun Huang
AU  - Shengyong Yang
AU  - Zhiqiang Zhang
AU  - Hongyun Lian
PY  - 2015/04
DA  - 2015/04
TI  - Model analysis of intelligent data mining based on semantic segmentation technology
BT  - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 899
EP  - 903
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-15.2015.205
DO  - 10.2991/meic-15.2015.205
ID  - Huang2015/04
ER  -