华侨大学学报（自然科学版）Issue(3)：292-296,5.DOI:10.11830/ISSN.1000-5013.2015.03.0292
旅游大数据的MapReduce客户细分应用
Application of Tourist Segmentation Based on MapReduce under Big Data of Tourism
摘要
Abstract
First,the characteristic of K-means clustering algorithm and Hadoop cloud platform is analyzed in this paper, the improvement of K-means clustering algorithm and its implementation of MapReduce are given.Then,the experiments of speedup and tourist segmentation are given to illustrate the effectiveness and the high scalability of the proposed meth-od.Finally,according to the characteristics of tourism big data,a multi index RFM model is built,the clustering results which are expected indicate that the algorithm is highly practical.关键词
旅游大数据/MapReduce模型/聚类/客户细分Key words
tourism big data/MapReduce model/clustering/customer segmentation分类
信息技术与安全科学引用本文复制引用
汪永旗,王惠娇..旅游大数据的MapReduce客户细分应用[J].华侨大学学报（自然科学版）,2015,(3):292-296,5.基金项目
浙江省自然科学基金资助项目（Y14D060013）；浙江省教育厅校企合作项目 （）
