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Web Structure Mining

Author

Listed:
  • Claudia Elena Dinucă

    (University of Craiova, Romania)

Abstract

The World Wide Web became one of the most valuable resources for information retrievals and knowledge discoveries due to the permanent increasing of the amount of data available online. Taking into consideration the web dimension, the users get easily lost in the web’s rich hyper structure. Application of data mining methods is the right solution for knowledge discovery on the Web. The knowledge extracted from the Web can be used to raise the performances for Web information retrievals, question answering and Web based data warehousing. In this paper, I provide an introduction of Web mining categories and I focus on one of these categories: the Web structure mining. Web structure mining, one of three categories of web mining for data, is a tool used to identify the relationship between Web pages linked by information or direct link connection. It offers information about how different pages are linked together to form this huge web. Web Structure Mining finds hidden basic structures and uses hyperlinks for more web applications such as web search.

Suggested Citation

  • Claudia Elena Dinucă, 2011. "Web Structure Mining," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 11(4), pages 73-84.
  • Handle: RePEc:pet:annals:v:11:y:2011:i:4:p:73-84
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    References listed on IDEAS

    as
    1. Andra Ganciov (Miculescu) & Loredana Ioana Pribac, 2010. "Knowledge And Information - Factors Of Economical And Social Development," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 10(1), pages 91-102.
    2. Naiana Ţarcă & Teodora Vătuiu & Adela Popa, 2009. "The Importance of the Web Technologies During the Communication Process between a Company and its Clients," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 9(2), pages 307-312.
    3. Dragoş Stuparu & Tomiţă Vasile & Cora-Ionela Dăniasă, 2010. "Bayesian Approach Of Decision Problems," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 10(3), pages 321-332.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    web mining; internet; web structure mining; link mining;
    All these keywords.

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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