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Copious material is available from the World Wide Web (WWW) in response to any user-provided query. It becomes tedious for the user to manually extract real required information from this material. Large document collections, such as those delivered by Internet search engines, are difficult and time-consuming for users to read and analyze. The detection of common and distinctive topics within a document set, together with the generation of multi-document summaries, can greatly ease the burden of information management. In the paper, a technique is proposed called Mining Unstructured Data From Web Using Soft Computing that creates the clusters of web documents using fuzzy clustering which focuses on this problem of mining the useful information from the collected web documents.
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