Prediction of User Interest and Behaviour using Markov Model

Neetu Anand¹ , Tapas Kumar²

1. Department of Computer Sciences, Maharaja Surajmal Institute, Delhi, India.
2. School of Computer Science and Engineering, Lingayas University, Faridabad, India.

Correspondence should be addressed to: neetuanand@msi-ggsip.org.

Section:Review Paper, Product Type: Isroset-Journal
Vol.5 , Issue.3 , pp.119-123, Jun-2017

Online published on Jun 30, 2017

Copyright © Neetu Anand, Tapas Kumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Data mining techniques are foreseeable to be a more expedient tool for analysing user behaviour. A main research area in Web mining focused on learning Web users and their interactions within Websites is Web usage mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole.Children and youngsters have embraced the Internet in conducting their daily activities, and therefore, they use the Internet in ways that differ from elders. While elders tend to use the Internet to check for news, sports, weather, or research products and services, children and young adults are more likely to use the Internet to complete school assignments or play games. And while very high proportions of all age groups – adults and children alike – use e-mail; older children and young adults are doing so at much higher levels. Students are living their lives immersed in technology, ‘surrounded by and using computers, videogames, digital music players, video cams, cell phones, and all the other playthings and tools of the digital age’. So it becomes very important to analyze the pattern of access of internet usage of child to identify the next page in the access series which in turn help in behavioural analysis of children.

Key-Words / Index Term :
Web mining, System monitoring, Behaviour pattern, Markov Model, Pre-processing

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