Model analysis of intelligent data mining based on semantic segmentation technology
Authors
Tianshun Huang, Shengyong Yang, Zhiqiang Zhang, Hongyun Lian
Corresponding Author
Tianshun Huang
Available Online April 2015.
- 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/).
Cite this article
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 -