文章基本信息

标题：Segmentation of Mobile Customers for Improving Profitability Using Data Mining Techniques
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作者：Anshul Arora ; Dr. Rajan Vohra
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：4
页码：5241-5244
出版社：TechScience Publications
摘要：This work helps in identifying the activities Segmentation of mobile customers of different groups will be done based on some rules. Customers are segregated into groups under the categorization of network providers. There are different types of networks, but we used only four types of networks. These networks are network a, b, c and d.we can calculate the score with the help of different- different attributes. These attributes are- STD Calls Local Calls, Local SMS, STD SMS, Roaming, Tariff Plan, and Data Plan Second, Revenue maximization profiling-use of clustering for identifying maximal cluster. With the help of clustering profiling is done for maximization of revenue. This all will be done using data mining tools which will provide data statistics. In second problem Revenue maximization profiling was done by using clustering for identifying maximal cluster. Revenue maximization was done invidually for each cluster
关键词：Data base of mobile customers; Data mining;Weka tool; K-mean clustering and Profiling