Design and Implementation of Analytical CRM System Based on Improved Decision Tree

DOI

10.2991/emim-16.2016.140How to use a DOI?

Keywords

Decision tree; Customer Relationship Management; Association rule; Classification; ID3

Abstract

Decision tree is a popular classification algorithm, which has the characteristics of fast learning, high classification accuracy, and the performance of the classification results. Decision tree structure includes two stages: the training set to generate decision tree; the generated decision tree pruning. This paper improves the traditional ID3 decision tree algorithm, and then puts forward the design and implementation of analytical CRM system based on improved decision algorithm. Finally, the experimental results show that the accuracy of the CRM system based on the improved decision tree algorithm is significantly improved, and it is stable.

Copyright

© 2016, 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  - Lan Wang
AU  - Wenli Gan
PY  - 2016/04
DA  - 2016/04
TI  - Design and Implementation of Analytical CRM System Based on Improved Decision Tree
BT  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 673
EP  - 678
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.140
DO  - 10.2991/emim-16.2016.140
ID  - Wang2016/04
ER  -