Development of Efficient Decision Support System Using Web Data Mining

Development of Efficient Decision Support System Using Web Data Mining

G. Sreedhar (Rashtriya Sanskrit Vidyapeetha (Deemed University), India) and A. Anandaraja Chari (Rayalaseema University, India)
DOI: 10.4018/978-1-5225-1877-8.ch001
OnDemand PDF Download:
$30.00
List Price: $37.50

Abstract

The management of web sites imposes a constant demand for new information and timely updates due to the increase of services and content that site owners wish to make available to their users, which in turn is motivated by the complexity and diversity of needs and behaviours of the users. Such constant labour intensive effort implies very high financial and personnel costs. The growth of World Wide Web and technologies has made business functions to be executed fast and easier. E-commerce has provided a cost efficient and effective way of doing business. Web mining is usually defined as the use of data mining techniques to automatically discover and extract information from web documents and services. Also, web data mining is commonly categorized into three areas: web content mining that describes the discovery of useful information from content, web structure mining that analyses the topology of web sites, and web usage mining that tries to make sense of the data generated by the navigation behaviour and user profile.
Chapter Preview
Top

Background: Web Mining

The data on World Wide Web are available in three different formats: web content, web structure and web usage. Web mining is usually defined as the use of data mining techniques to automatically discover and extract information from web documents and services. The authors of O.Etzioni (1996) and R. Cooley (1997) discuss in their research that web data mining can be defined in two distinct forms: first, it is defined as chain of order tasks and second, it is defined considering type of web data used in web data mining process. Web mining is the application of data mining techniques to extract knowledge from web data, i.e. web content, web structure, and web usage data. Web Data Mining extracts and analyses useful information from huge amounts of data stored in different data sources to provide additional information and knowledge that are crucial of decision making process. A decision support system is a computer-based information system that supports business and organizational decision-making activities. According to J. Srivastava et al. (2002) also web data mining is commonly categorized into three areas. They are:

  • 1.

    Web content mining

  • 2.

    Web structure mining

  • 3.

    Web usage mining

Complete Chapter List

Search this Book:
Reset