• DocumentCode
    2402659
  • Title

    Web Data Mining research: A survey

  • Author

    Singh, Brijendra ; Singh, Hemant Kumar

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Lucknow, Lucknow, India
  • fYear
    2010
  • fDate
    28-29 Dec. 2010
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Web Data Mining is an important area of Data Mining which deals with the extraction of interesting knowledge from the World Wide Web, It can be classified into three different types i.e. web content mining, web structure mining and web usages mining. The aim of this paper is to provide past, current evaluation and update in each of the three different types of web mining i.e. web content mining, web structure mining and web usages mining and also outlines key future research directions. This paper also reports the comparisons and summary of various methods of web data mining with applications, which gives the overview of development in research and some important research issues.
  • Keywords
    Internet; data mining; knowledge acquisition; Web data mining; World Wide Web; knowledge extraction; web content mining; web structure mining; web usages mining; Web mining; semantic web; web content mining; web structure mining; web usage mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4244-5965-0
  • Electronic_ISBN
    978-1-4244-5967-4
  • Type

    conf

  • DOI
    10.1109/ICCIC.2010.5705856
  • Filename
    5705856