Web data mining: exploring hyperlinks, contents, and usage data

ABSTRACT

This paper presents a review of the book "Web Data Mining - Exploring Hyperlinks, Contents, and Usage Data" by Bing Liu. The review concludes that the breadth and depth of this book makes it a required staple for every Web mining researcher, student, or practitioner.

REFERENCES

• 1: Bing Liu, Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications), Springer-Verlag New York, Inc., Secaucus, NJ, 2006
• 2: S. Chakrabarty, Mining the Web: Analysis of Hypertext and Semi Structured Data, Morgan Kauffman, 2002.
• 3: P. Baldi, P. Frasconi, and P. Smyth. Modeling the Internet and the Web - Probabilistic methods and algorithms, Wiley, 2003.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
          Subjects: Data mining

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.4 Systems and Software

          Nouns: World Wide Web (WWW)

General Terms:
Design, Measurement

Keywords:
crawling, data extraction, data mining, link analysis, text mining, web information retrieval, web mining, web search