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  • 标题:Mining Frequent Itemsets for Improving the Effectiveness of Marketing and Sales
  • 本地全文:下载
  • 作者:Pratima O. Fegade ; Prof. Dinesh D. Patil
  • 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:3
  • 页码:3736-3738
  • 出版社:TechScience Publications
  • 摘要:Mention system is for finding most frequent combination of items. Main aim of this system is developing an efficient algorithm for finding frequent patterns. Initially apriori algorithm is applied on the data sets after that optimization method is applied over the rule fetched from apriori association rule mining. This system is useful in marketing and sales. Analyzing the frequently purchase items by the customer is helpful to the marketers. For the purpose of selling the product it is necessary to communicate the value of a product to the customers. Marketing is beneficial for the organization. Marketing is nothing but set of processes for creating, delivering and communicating value to the customers.
  • 关键词:Apriori; best combination; éclat; frequent pattern;growth; genetic.
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