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A customer segmentation model based on affinity propagation algorithm and improved genetic k-means algorithm
Zhang, Meiyang1; Zhang, Zili1,2; Qiu, Shi3
2018
会议名称10th IFIP International Conference on Intelligent Information Processing, IIP 2018
会议录名称Intelligent Information Processing IX - 10th IFIP TC 12 International Conference, IIP 2018, Proceedings
卷号538
页码321-327
会议日期2018-10-19
会议地点Nanning, China
出版者Springer New York LLC
产权排序3
摘要Customer Relationship Management System (CRM) has accumulated massive customer transaction data. Effective customer segmentation by analyzing transaction data can contribute to marketing strategy designing. However, the state-of-the-art researches are defective such as the uncertain number of clusters and the low accuracy. In this paper, a novel customer segmentation model, AP-GKAs, is proposed. First, factor analysis extracts customer feature based on multi-indicator RFM model. Then, affinity propagation (AP) determines the number of customer clusters. Finally, the improved genetic K-means algorithm (GKAs) is used to increase clustering accuracy. The experimental results showed that the AP-GKAs has higher segmentation performance in comparison to other typical methods. © IFIP International Federation for Information Processing 2018.
作者部门光学影像学习与分析中心
DOI10.1007/978-3-030-00828-4_32
收录类别EI
ISBN号9783030008277
语种英语
ISSN号18684238
EI入藏号20184406019609
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/30696
专题光学影像学习与分析中心
通讯作者Zhang, Zili
作者单位1.College of Computer and Information Science, Southwest University, Chongqing; 400715, China;
2.School of Information Technology, Deakin University, Locked Bag 20000, Geelong; VIC; 3220, Australia;
3.Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an; 710119, China
推荐引用方式
GB/T 7714
Zhang, Meiyang,Zhang, Zili,Qiu, Shi. A customer segmentation model based on affinity propagation algorithm and improved genetic k-means algorithm[C]:Springer New York LLC,2018:321-327.
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