Data Mining for Web Intelligence

Jiawei Han and Kevin Chen-Chuan Chang

Reviewer

Xiao Guo (gxia003@aucklanduni.ac.nz)

Reference

Jiawei Han and Kevin Chen-Chuan Chang, November 2002, "Data Mining for Web Intelligence" [PDF]

Keywords

  • Web mining
  • PageRank
  • Web structure
  • Search engine

    • Related Papers

  • Jaideep Srivastava. "Web Mining: Accomplishments & Future Directions".
  • William Yip, Dr.Luz Quiroga, October,11, 2008. "Google PageRank Algorithm".
  • Johnannes Furnkranz. "Web Structure Mining: Exploiting the graph structure of the world-wide web".
  • P.Ravi Kumar and Ashutosh Kumar Singh, "Web Structure Mining: Exploring hyperlinks and algorithms for information retrieval".
  • YueFeng Li, and Ning Zhong. "Web Mining Model and Its Applications for Information Gathering".
  • HsingChun Chen and Michael Chau, 289-319. "Web mining: Machine learning for web applications".

    • Summary

    There are many deficiencies in the traditional non-intelligence web. Web mining research will thrust web technology to enable fully use of the immense information on the web. This paper introduced the importance, tasks and the technologies of data mining for web intelligence.

    Evaluation

    This is a great paper to get a basic idea about using AI technology to improve the web envirnoment. It described most of the critical shortages of the traditional web (web 1.0), and introduced what challanges we must overcome during the researching. The paper only mentioned some web mining technologies generally but has not described them in detail, so it is necessary to research futher with other papers to find the details of the web mining technologies, also the important algorithms they use.