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Discover Patterns from Web-Based Dataset

Discover Patterns from Web-Based Dataset
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Author(s): Raghvendra Kumar (LNCT College, India), Priyanka Pandey (LNCT College, India)and Prasant Kumar Pattnaik (KIIT University (Deemed), India)
Copyright: 2017
Pages: 29
Source title: Web Data Mining and the Development of Knowledge-Based Decision Support Systems
Source Author(s)/Editor(s): G. Sreedhar (Rashtriya Sanskrit Vidyapeetha (Deemed University), India)
DOI: 10.4018/978-1-5225-1877-8.ch006

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Abstract

The Web can be defined as a depot of varied range of information present in the form of millions of websites dispersed around us. Often users find it difficult to locate the appropriate information fulfilling their needs with the abundant number of websites in the Web. Hence multiple research work has been conducted in the field of Web Mining so as to present any information matching the user's needs. The application of data mining techniques on web usage, web content or web structure data to find out useful data like users' way in patterns and website utility statistics on a whole can be defined as Web mining. The main cause behind development of such websites was to personalize the substance of a website on user's preference. New methods are developed to deal with a Web site using a link hierarchy and a conceptual link hierarchy respectively on the basis of how users have used the Web site link structure.

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