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On Two Algorithms Used In Web Structure Mining

Author

Listed:
  • Claudia Elena Dinuca
  • Dumitru Ciobanu

    (University of Craiova Faculty of Economics and Business Administration)

Abstract

Due to the continuous growth and spread of the internet using Web Mining to improve the quality of different services has become a necessity. Web Mining is nothing else than applying data mining techniques and algorithms on web data. In this work we present two algorithms used in Web Structure Mining namely Page Rank and HITS. Both algorithms draw their origin from social networks analysis and they are modeled based on the Theory of Markov Chains. Page Rank is used by the search engine GOOGLE and HITS by the search engine CLEVER. We present their strengths, weakness and other areas of applicability.

Suggested Citation

  • Claudia Elena Dinuca & Dumitru Ciobanu, 2011. "On Two Algorithms Used In Web Structure Mining," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 3(39), pages 186-193.
  • Handle: RePEc:aio:aucsse:v:3:y:2011:i:39:p:186-193
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    File URL: http://feaa.ucv.ro/AUCSSE/0039v3-026.pdf
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    References listed on IDEAS

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    1. Oecd, 2004. "Ageing and Financial Markets," Financial Market Trends, OECD Publishing, vol. 2004(1), pages 85-120.
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    More about this item

    Keywords

    critical; Web Mining; Web Structure Mining; Algorithms; Page Rank; HITS;

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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