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  • 标题:An Application of Collaborative Data Mining in Social Network for Viral Marketing
  • 本地全文:下载
  • 作者:Shalini Sharma ; Vishal Shrivastava
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2013
  • 卷号:4
  • 期号:2-2
  • 出版社:Seventh Sense Research Group
  • 摘要:Data mining is a process which finds useful patterns from large amount of data. Data mining having various algorithms and techniques. The proposed work focus on clustering application “Collaborative data mining” which aims at mining the subgroups from some networks in the form of graphs, such as social networks. The nodes belonging to the subgroup having strong tie have most of the features in common. In this work using social network, two type of clusters are developed using data mining algorithms, one having strong tie and other having a weak tie between members and then the cluster with strong tie is used for discovering the highly influential node for viral advertising using target marketing to increase the profit with less advertising expense.
  • 关键词:Data mining; Collaborative mining; Social network; Viral marketing
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