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IMPLEMENT A TOOL TO EXTRACT AND ANALYSE PATTERNS FROM WEB DATA?

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 12)

Publication Date:

Authors : ;

Page : 498-506

Keywords : Web Data Extraction (WDE); Web Usage Mining (WUM); Clustered Approach; Keyword Extraction (KE); Data Mining Techniques (DTM);

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Abstract

This document emphasizes on research issues in web mining. Web mining provides high performance system to the users to search for the product and obtains information of a particular product by searching through the servers that contains the sources. Web Data Extraction (WDE) is an important problem that has been studied by means of different scientific tools and in a broad range of applications. Web usage mining (WUM) is the application of data mining techniques (DMT) to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Web usage mining consists of three phases, namely preprocessing, pattern discovery, and pattern analysis. The proposed work will use the featured analysis based approach. The keyword extraction (KE) and analysis based approach will be done dynamically using clustered approach to perform the document match over web.

Last modified: 2014-12-27 20:00:15