Analyzing Website Quality Issues through Web Mining: A Case Study on University Websites in India

Analyzing Website Quality Issues through Web Mining: A Case Study on University Websites in India

G. Sreedhar (Rashtriya Sanskrit Vidyapeetha (Deemed University), India)
Copyright: © 2017 |Pages: 31
DOI: 10.4018/978-1-5225-0613-3.ch007
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Abstract

In the present day scenario the World Wide Web (WWW) is an important and popular information search tool. It provides convenient access to almost all kinds of information – from education to entertainment. The main objective of the chapter is to retrieve information from websites and then use the information for website quality analysis. In this chapter information of the website is retrieved through web mining process. Web mining is the process is the integration of three knowledge domains: Web Content Mining, Web Structure Mining and Web Usage Mining. Web content mining is the process of extracting knowledge from the content of web documents. Web structure mining is the process of inferring knowledge from the World Wide Web organization and links between references and referents in the Web. The web content elements are used to derive functionality and usability of the website. The Web Component elements are used to find the performance of the website. The website structural elements are used to find the complexity and usability of the website. The quality assurance techniques for web applications generally focus on the prevention of web failure or the reduction of chances for such failures. The web failures are defined as the inability to obtain or deliver information such as documents or computational results requested by web users. A high quality website is one that provides relevant, useful content and a good user experience. Thus in this chapter, all areas of website are thoroughly studied for analysing the quality of website design.
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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:

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