Optimization Analysis of Improved Association Rules Based on Decision Tree and Data Clustering

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/).

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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  -