A Survey on Web Mining Using Fuzzy Logic
نویسنده
چکیده
The Internet has unlimited resources of knowledge and is widely used in many applications. Web mining plays an important role in discovering such knowledge, it is roughly divided into three categories : Web Content Mining , Web Usage Mining and Web Structure Mining. The web consists of imprecise, incomplete and uncertain data and knowledge. Fuzzy Set Theory is often used to handle such data. Several fuzzy based web mining has been proposed to reveal fuzzy and linguistic knowledge. This paper reviews the techniques about Fuzzy Web Content Mining, Fuzzy Web Usage Mining and Fuzzy Web Structure Mining.
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