Web Mining an Approach to Evaluate the Web

AshirrK Kashyap¹ , Iflah Naseem² , Dheeraj Mandloi³

1. Computer Science, IET-DAVV, Indore, India.
2. Computer Science, IET-DAVV, Indore, India.
3. Chemistry, IET-DAVV, Indore, India.

Correspondence should be addressed to: 247ashkash@gmail.com.

Section:Review Paper, Product Type: Isroset-Journal
Vol.5 , Issue.3 , pp.79-85, Jun-2017

Online published on Jun 30, 2017

Copyright © AshirrK Kashyap, Iflah Naseem, Dheeraj Mandloi . 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.
 

View this paper at   Google Scholar | DPI Digital Library

XML View     PDF Download

How to Cite this Paper

953 Views    306 Downloads    148 Downloads

Abstract :
Web mining is a field of quite importance a s it include two of the most activated research fields, the data mining and the world wide web. The web mining is an application of data mining which extract the indexed information from the web and sorts them accordingly. In the absence internet, the advancement in technology would not have been possible. The information on the web is so voluminous and heterogeneous that it becomes a necessity to evaluate this available information and present it into a useful form according to the particular problem. Web mining helps in figuring out various patterns obtained in the activities of users and dealing with these interesting patterns developing usable abstracts from various sources. The paper will deal with the various categories of web data mining, its effectiveness in current arena of internet, its pros and cons along with the future it holds in the field of computer science.

Key-Words / Index Term :
Web Usage Mining, Web Structure Mining, Web Data Mining, Web Content Mining

References :
[1] R Kosala, H Blockeel, “Web mining Research: A survey”, ACM SIKGDD, Vol.2, Issue 1, pp. 1-2, 2000.
[2] D. Jayalatchumy, P.Thambidurai, “Web Mining Research Issues and Future Directions – A Survey”, IOSR Journal of Computer Engineering (IOSR-JCE), Vol.4, Issue.3, pp.20-27, 2013.
[3] V. Krishnaiah, G. Narsimha, N.S. Chandra, “Survey of Classification Techniques in Data Mining”, International Journal of Computer Sciences and Engineering, Vol.2, Issue.9, pp.65-74, 2014.
[4] N Jain, V Srivastava, “Data mining techniques: a survey paper”, IJRET: International Journal of Research in Engineering and Technology, Vol.2 ,Issue.11, pp 116-119, Nov-2013.
[5] P Mehtaa, B Parekh, K Modi, P. Solanki, “Web Personalization Using Web Mining: Concept and Research Issue”, International Journal of Information and Education Technology, Vol.2, Issue.5, pp.1-7, 2012.
[6] R. Munilatha1 , K. Venkataramana, “A Study on issues and techniques of web mining”, International Journal of Computer Science and Mobile Computing, Vol.3, Issue.5, pp.331-341, 2014.
[7] J Srivastava, P Desikan, V Kumar, “Web Mining— Concepts,Applications, and Research Directions”, Foundations and advances in data mining, Berlin, pp.275-307, 2003.
[8] Siddu P. Algur, Prashant Bhat, “Abnormal Web Video Prediction Using RT and J48 Classification Techniques”, International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.101-107, 2016.
[9] M. Aldekhail, “Application and Significance of Web Usage Mining in the 21st Century: A Literature Review”, International Journal of Computer Theory and Engineering, Vol. 8, No. 1, pp.1-6, 2016.
[10] Rajesh Shah and Suresh Jain, “Web Mining Using Cloud Computing Technology”, International Journal of Scientific Research in Computer Science and Engineering, Vol.3, Issue.2, pp.21-25, 2015.