Optimization Analysis of Improved Association Rules Based on Decision Tree and Data Clustering
Authors
Qing Tan
Corresponding Author
Qing Tan
Available Online October 2018.
- DOI
- 10.2991/icmcs-18.2018.113How to use a DOI?
- Keywords
- Association rule; Decision tree; Clustering; Optimization analysis; Data mining
- Abstract
In this paper, we first analyze the optimization strategies and classical algorithms of association rules and clustering mining algorithms, from which we can see the basic ideas of these algorithms to solve the problem, and find the shortcomings of the traditional algorithms. Then, this article describes analysis of hierarchical clustering and association rule mining based on dynamic models. The paper presents optimization analysis of improved association rules based on decision tree and data clustering.The experimental results show that the proposed method is very effective.
- Copyright
- © 2018, 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 - Qing Tan PY - 2018/10 DA - 2018/10 TI - Optimization Analysis of Improved Association Rules Based on Decision Tree and Data Clustering BT - Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018) PB - Atlantis Press SP - 550 EP - 554 SN - 2352-538X UR - https://doi.org/10.2991/icmcs-18.2018.113 DO - 10.2991/icmcs-18.2018.113 ID - Tan2018/10 ER -