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Data Preprocessing in Web Usage Mining


  • Istrate Mihai

    () („Constantin Brâncoveanu”University of Pitesti)


Data collected from Web in the first stage of data mining are usually diverse and voluminous. These data must be assembled into a consistent, integrated and comprehensive view, in order to be used for pattern discovery. Like in most applications of data mining, data preprocessing involves removing and filtering redundant and irrelevant data, predicting and filling in missing values, removing noise, transforming and encoding data, as well as resolving any inconsistencies. The task of data transformation and encoding is particularly important for the success of data mining.

Suggested Citation

  • Istrate Mihai, 2010. "Data Preprocessing in Web Usage Mining," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 688-691, May.
  • Handle: RePEc:ovi:oviste:v:10:y:2010:i:1:p:688-691

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    data preprocessing; data filtering; user identification; users session identification.;

    JEL classification:

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


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