Research on Mining of E-Procurement Model Parameters Based on Decision Tree
More and more enterprises adopt e-business for procurement. Varieties of procurement modes can be controlled by different parameters, and different business processes are generated by the combination of parameters, but numerous optional parameters will increase the difficulty of the customer's choice. In order to solve it, we will use the C4.5 algorithm to analyze a procurement mode parameters correlation with the bidding results, and mine parameters combinations that suit for certain type of materials to provide customers with recommended parameter selection guide. Thereby it generates the e-procurement process meeting customer demand, and provides a good bidding result.
Hongyang Zhao, Kun Liu and Xiaoguang Yu
P. Wu et al., "Research on Mining of E-Procurement Model Parameters Based on Decision Tree", Applied Mechanics and Materials, Vols. 397-400, pp. 2655-2661, 2013