Decision Tree Construction Algorithm Based on Association Rules

DOI

10.2991/iccasm.2012.191How to use a DOI?

Keywords

Text-based classification, Term association, Decision tree

Abstract

With the rapid development of Internet, there are more and more products information exist on the Internet. In order to facilitate the retrieval, how to classify these information automatically is becoming much more essential. So far there are many text-based classification models such as Decision Tree Model, Rule Induction Model, Bayes Model, and SVM Model and so on. In this paper, we present a new model which uses association rules to construct decision tree. The model theoretically has the better effect and the experimental results show the effectiveness of the model.

Copyright

© 2012, 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  - Yong Peng
AU  - Yanming Ye
AU  - Jianwei Yin
PY  - 2012/08
DA  - 2012/08
TI  - Decision Tree Construction Algorithm Based on Association Rules
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 754
EP  - 756
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.191
DO  - 10.2991/iccasm.2012.191
ID  - Peng2012/08
ER  -