Challenging Issues and Similarity Measures for Web DocumentClustering
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 1
Abstract
Abstract: Web itself contains a large amount of documents available in electronic form. The availabledocuments are in various forms and the information in them is not in organized form. The lack of organizationof materials in the WWW motivates people to automatically manage the huge amount of information. Textminingrefers generally to the process of extracting interesting and non-trivial information and knowledgefrom unstructured text. Text mining framework contains Information Retrieval, Information Extraction,Information Mining and Interpretation. During Information Retrieval, so many web documents are retrieved.In that how we can find out similar documents among retrieved? This paper deals with the challengingissues and similarity measures for web document clustering
Authors and Affiliations
S. Mahalakshmi
Keywords
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