Web Mining for Personalization: A Survey in the Fuzzy Framework
Keywords:
web mining, personalization, fuzzy, clusteringAbstract
Web mining is the use of data mining techniques to automatically discover and extract information from Web documents and services. When comparing web mining with traditional data mining, there are three main differences to consider: Scale, Access and Structure. Web personalization is the process of tailoring content that web user experiences according to his needs, goals and preferences. In this survey paper we have discussed various researches done in the field of web mining for personalization in last fifteen which used fuzzy as their framework for study. We also discussed a fuzzy c-means clustering algorithm which we will consider in our further research.
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