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  • 标题:A Survey Online Social Network Analysis on Using Data Mining Techniques
  • 本地全文:下载
  • 作者:Mohammad Zuber
  • 期刊名称:International Journal of Research in Computer Engineering & Electronics
  • 印刷版ISSN:2319-376x
  • 出版年度:2015
  • 卷号:4
  • 期号:2
  • 语种:English
  • 出版社:BHOPAL INSTITUTE OF PROFESSIONAL STUDIES
  • 摘要:In this paper we take into consideration the concepts of using algorithmic and data mining perspective of Online Social Networks (OSNs), with special emphasis on latest hot topics of research area. There are several factors which has made the study of OSNs gain enormous importance by researchers. Few such factors include the availability of huge amount of OSN data, the representation of OSN data as graphs, and so on. Analysis of data in OSNs also has a great prospective for researchers in a variety of disciplines. Hence this paper gives an idea about the key topics of using data mining in OSNs which will help the researchers to solve those challenges that still exist in mining OSNs. Keywords: Online Social Networks, Data Mining, Structure- based Analysis, Content-based Analysis
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