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Toward A Distributed Data Mining System For Tourism Industry

Author

Listed:
  • Danubianu Mirela

    (Stefan cel Mare University of Suceava, Stiinta Calculatoarelor)

  • Socaciu Tiberiu

    (Universitatea Suceava, Stiinte Economice)

  • Barala Adina

    (Universitatea Suceava, Stiinta Calculatoarelor)

Abstract

Romania has a huge tourist’s potential, but currently it is too little valued and exploited. As a result, one of the strategic developments of the economy aimed the tourism industry. The strategic decisions are based on different trends obtained from soph

Suggested Citation

  • Danubianu Mirela & Socaciu Tiberiu & Barala Adina, 2009. "Toward A Distributed Data Mining System For Tourism Industry," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 4(1), pages 922-926, May.
    • Handle: RePEc:ora:journl:v:4:y:2009:i:1:p:922-926
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    File URL: http://steconomice.uoradea.ro/anale/volume/2009/v4-management-and-marketing/188.pdf
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    More about this item

    Keywords

    tourism industry; data mining techniques; distributed databases;
    All these keywords.

    JEL classification:

    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other

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