Online Bidding System Based on Cournot model using K-means Clustering

摘要：

　　Online E-commence has been growing rapidly in the world.Online bidding has become popular.This work will come out with a model of online bidding system(OBS).This paper propose a new model to deal with online bidding,we deal with auction with Cournot Bidding Data Mining(CBDM).CBDM framework based on Cournot model is designed for K-means clustering.The input auction space is partitioned into groups of similar auctions by K-means clustering algorithm.The problem of finding the value of k in K-means algorithm is solved by method using Cournot competition.Cournot bidding is employed to obtain the optimal bidding strategies for the current auction.The clustering algorithm has been deployed successfully into online bidding,yielding significant improvement in performance over the existing OBS.

作者: Jun Tan Yan-Jiang Jia

作者单位: Guangdong Province Key Laboratory of Computational Science School of mathematics and Computational S Bidding Management Center Sun Yat-Sen University Guangzhou,PR China 510275

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 371-376

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）