Data Mining and Knowledge Engineering

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Review on Web Usage Mining and Data Preprocessing Techniques


Affiliations
1 Department of Information Technology, Dr. N.G.P. Arts and Science College, India
     

   Subscribe/Renew Journal


The popularity of World Wide Web is increasing day by day by allowing peoples to share/ transfer their information to multiple sites. WWW becomes the most popular source for containing most information from the various peoples from different locations. Search engines are most useful tool which enables users to retrieve their required contents from the websites. However retrieval of more related contents for the users would be more difficult task which is resolved by using the web mining concepts. Web mining is nothing but integration of data mining techniques with the WWW to retrieve the most useful information required by the users. There are various methodologies are proposed by different authors to perform web mining in the effective way. In this analysis work, different methodologies proposed by various authors are discussed in terms of their working procedure along with their merits and demerits.

Keywords

Web Mining, Useful Information, Data Mining, World Wide Web, Search Engine.
User
Subscription Login to verify subscription
Notifications
Font Size

  • Sunena; Kamaljit Kaur, “Web usage mining-current trends and future challenges”, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Pages: 1409 - 1414, 2016

  • Dhandi, M., & Chakrawarti, R. K. (2016, March). A comprehensive study of web usage mining. In Colossal Data Analysis and Networking (CDAN), Symposium on (pp. 1-5). IEEE

  • Zdravko Markov, Daniel T. Larose "Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage", Wiley, 2007

  • Yan LI, Boqin FENG and Qinjiao MAO, “Research on Path Completion Technique in Web Usage Mining”, IEEE International Symposium on Computer Science and Computational Technology, pp. 554-559, 2008.

  • Tasawar Hussain, Dr. Sohail Asghar and Nayyer Masood, “Hierarchical Sessionization at Preprocessing Level of WUM Based on Swarm Intelligence”, 6th International Conference on Emerging Technologies (ICET) IEEE, pp. 21-26, 2010

  • Doru Tanasa and Brigitte Trousse, ”Advanced Data Preprocessing for Inter sites Web Usage Mining“, Published by the IEEE Computer Society, pp. 59-65, March/April 2004

  • Ling Zheng, Hui Gui and Feng Li, “Optimized Data Preprocessing Technology For Web Log Mining”, IEEE International Conference On Computer Design and Applications( ICCDA ), pp. VI-19-VI-21,2010

  • JING Chang-bin and Chen Li, “Web Log Data Preprocessing Based on Collaborative Filtering”, IEEE 2nd International Workshop on Education Technology and Computer Science, pp.118-121, 2010.


Abstract Views: 273

PDF Views: 4




  • Review on Web Usage Mining and Data Preprocessing Techniques

Abstract Views: 273  |  PDF Views: 4

Authors

P. Menaka
Department of Information Technology, Dr. N.G.P. Arts and Science College, India
K. Geetha
Department of Information Technology, Dr. N.G.P. Arts and Science College, India

Abstract


The popularity of World Wide Web is increasing day by day by allowing peoples to share/ transfer their information to multiple sites. WWW becomes the most popular source for containing most information from the various peoples from different locations. Search engines are most useful tool which enables users to retrieve their required contents from the websites. However retrieval of more related contents for the users would be more difficult task which is resolved by using the web mining concepts. Web mining is nothing but integration of data mining techniques with the WWW to retrieve the most useful information required by the users. There are various methodologies are proposed by different authors to perform web mining in the effective way. In this analysis work, different methodologies proposed by various authors are discussed in terms of their working procedure along with their merits and demerits.

Keywords


Web Mining, Useful Information, Data Mining, World Wide Web, Search Engine.

References