Comparison of Conventional & Fuzzy Clustering Techniques: A Survey

Abstract: The web is the largest information repository observed till date. Due to its huge size however, finding the relevant information is not an easy task. So different searching and web mining techniques are being employed by the present day search engine for the purpose of information retrieval from the web. Web document clustering is one possible technique to improve the efficiency in information finding process. The traditional web mining, techniques of web mining have difficulties in handling the challenges posed by the collection of data which is vague and uncertain. Fuzzy clustering methods have the potential to manage such type of situations efficiently. This paper summarizes the different characteristics of web data, the web mining basics and limitations of existing web mining methods. The application of use of Fuzzy logic with web mining is being discussed with a view to highlight its importance in information retrieval. A comparative study of different fuzzy clustering techniques with the conventional clustering technique has been discussed.

Keywords: Web mining, Conventional clustering, Fuzzy Clustering.