Design and Implementation of Analytical CRM System Based on Improved Decision Tree
Lan Wang, Wenli Gan
Available Online April 2016.
- https://doi.org/10.2991/emim-16.2016.140How to use a DOI?
- Decision tree; Customer Relationship Management; Association rule; Classification; ID3
- 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.
- 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 SP - 673 EP - 678 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 -