First Look on Web Mining Techniques to Improve Business Intelligence of E-Commerce Applications

Author:

Sreedhar G.1,Chari A. Anandaraja2

Affiliation:

1. Rashtriya Sanskrit Vidyapeetha (Deemed University), India

2. Rayalaseema University, India

Abstract

Web Data Mining is the application of data mining techniques to extract useful knowledge from web data like contents of web, hyperlinks of documents and web usage logs. There is also a strong requirement of techniques to help in business decision in e-commerce. Web Data Mining can be broadly divided into three categories: Web content mining, Web structure mining and Web usage mining. Web content data are content availed to users to satisfy their required information. Web structure data represents linkage and relationship of web pages to others. Web usage data involves log data collected by web server and application server which is the main source of data. The growth of WWW and technologies has made business functions to be executed fast and easier. As large amount of transactions are performed through e-commerce sites and the huge amount of data is stored, valuable knowledge can be obtained by applying the Web Mining techniques.

Publisher

IGI Global

Reference11 articles.

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