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Showing 1 to 6 of 6 for “"Web usage mining"”.

  1. Webes portálok statisztikai optimalizálása

    … Hasonlóan fejlődő területet jelentenek a Web alapú alkalmazások, különösen az elektronikus kereskedelem, amely az érdeklődés középpontjába helyezte webes használati adatok elemzését. Az elemzés célja, hogy a webes használati adatok érthetőbbé váljanak, és az ismereteket alkalmazva a …

    debrecen Repository record for Webes portálok statisztikai optimalizálása (opens in a new tab)

  2. Web mining techniques for recommendation and personalization

    Nowadays Web users are facing the problems of information overload and drowning due to the significant and rapid growth in the amount of information and the number of users. As a result, how to provide Web users with more exactly needed information is becoming a critical issue in web-based …

    vu-aus Repository record for Web mining techniques for recommendation and personalization (opens in a new tab)

  3. Integrating Network Analysis and Data Mining Techniques into Effective Framework for Web Mining and Recommendation. A Framework for Web Mining and Recommendation

    … and maintained electronically. We concentrate on Web usage (i.e., log) mining and Web structure mining. Analysing Web log data will reveal valuable feedback reflecting how effective the current structure of a web site is and to help the owner of a web site in understanding the behaviour of the web

    bradford Repository record for Integrating Network Analysis and Data Mining Techniques into Effective Framework for Web Mining and Recommendation. A Framework for Web Mining and Recommendation (opens in a new tab)

  4. Modeling usage of an online research community

    … inside a research community by analyzing web server logs. The results show that although there are not many interactions in the community space, the WebCenter has been visited extensively by its members. There are over 2,000 hits per day on average and over 5,000 article accesses during …

    njit Repository record for Modeling usage of an online research community (opens in a new tab)