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  • 标题:Event Sequence Analysis using Self Organizing Map
  • 本地全文:下载
  • 作者:Dharmendra Kaushik ; Babita Kubde
  • 期刊名称:International Journal of Computer Technology and Applications
  • 电子版ISSN:2229-6093
  • 出版年度:2012
  • 卷号:3
  • 期号:5
  • 页码:1687-1693
  • 出版社:Technopark Publications
  • 摘要:In today’s world we have abundance of data and scarcity of Knowledge data mining field emerged as the fit of the tool to the problem. With the advent of internet technology and the exponential growth in the technology behind the world wide web, the concept of web mining and found a place for itself and emerged as a separate field of research. Web mining involves a wide range of applications that aim at discovering and extracting hidden information in data stored on the Web. Web log analysis is an innovative and unique field constantly formed and changed by the convergence of various emerging Web technologies. Due to its interdisciplinary character, the diversity of issues it addresses, and the variety and number of Web applications, it is the subject of many distinctive and diverse research methodologies. This chapter examines research methodologies used by contributing authors in preparing the individual chapters for this handbook, summarizes research results, and proposes new directions for future research in this area.
  • 关键词:Data Mining; Web Mining; Preprocessing web log; weblog mining; web usage mining
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