A Review on Various Web mining Techniques with Purposed Algorithm of K-means Web Ranking
نویسندگان
چکیده
With huge amount of information available online, the World Wide Web is fertile area of data mining research. The web mining research is crossroad of several forms of several research communities such as data base IR within AI, especially the subarea of Machine language and Natural Language processing. However there is lot of confusion with comparing research efforts from different point of views .In this Paper ,We Survey the research area of web mining ,point out confusion regarding the confusion of uses of term web mining and suggested three other web mining categories then we situate some of three categories. We also explore connection between web mining types and related agent paradigm. For the survey we focus on representation issue on the process and learning algorithm which is based on page ranking method. We conclude the paper with some research issues. Key Terms: web mining techniques; Page ranked Algorithm; Database; agent Full Text: http://www.ijcsmc.com/docs/papers/April2013/V2I4201340.pdf
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