文章基本信息

标题：Implementation of Clustering Technique In Marketing Sector
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作者：Pallavi R. Wankhade ; Prof. Rajeshri R. Shelke
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：3
页码：5162
DOI：10.15680/IJIRCCE.2017.0503277
出版社：S&S Publications
摘要：Cluster analysis divides data into meaningful or useful groups (clusters). One of the most importantproblems in modern finance is finding efficient ways to summarize and visualize the stock market data to giveindividuals or institutions useful information about the market behaviour for investment decisions. The enormousamount of valuable data generated by the stock market has attracted researchers to explore this problem domain usingdifferent methodologies. Potential significant benefits of solving these problems motivated extensive research for years.We proposed clustering techniques that are being used in Data Mining is presented. Data mining adds to clustering thecomplications of very large datasets with very many attributes of different types. This imposes unique computationalrequirements on relevant clustering algorithms with k-means method is one of the clustering techniques. Data miningfacilitates marketing sector by classifying customer demographic that can be used to predict which customer willrespond to a mailing or buy a particular product and it is very much helpful in growth of business.
关键词：Marketing; data mining; clustering technique.