Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

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

Authors
Lan Wang, Wenli Gan
Corresponding Author
Lan Wang
Available Online April 2016.
DOI
https://doi.org/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.
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Proceedings
6th International Conference on Electronic, Mechanical, Information and Management Society
Part of series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
978-94-6252-176-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/emim-16.2016.140How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.140
DO  - https://doi.org/10.2991/emim-16.2016.140
ID  - Wang2016/04
ER  -