Efficient Identification of Users and User Sessions from Web Log Repository Using Dimensionality Reduction Techniques and Combined Methodologies

Web Based Applications are data intensive. In addition to web content and structure, they collect huge amount of data in the form of User interactions with the web, forming Web Log Repository. Application of data mining techniques over the Web Log Repository to extract useful knowledge is referred to as Web Usage Mining. Web Usage Mining consists of three phases—Web Log Preprocessing, Knowledge Discovery and Pattern Analysis. In this paper, an efficient implementation for Web Log Pre-processing using Dimensionality Reduction Techniques and Combined Methodologies is presented.

[1]  M. J. del Jesus,et al.  Web usage mining to improve the design of an e-commerce website: OrOliveSur.com , 2012, Expert Syst. Appl..

[2]  Anour F. A. Dafa-Alla,et al.  Extracting knowledge from web server logs using web usage mining , 2013, 2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE).

[3]  Sireesha Rodda,et al.  An Overview on Web Usage Mining , 2015 .

[4]  Abdelaziz Marzak,et al.  Web Usage Mining data preprocessing and multi level analysis on Moodle , 2013, 2013 ACS International Conference on Computer Systems and Applications (AICCSA).

[5]  Swapna S. Gokhale,et al.  Web robot detection techniques: overview and limitations , 2010, Data Mining and Knowledge Discovery.

[6]  J. N. Rathod,et al.  Web usage mining: A review on process, methods and techniques , 2013, 2013 International Conference on Information Communication and Embedded Systems (ICICES).

[7]  Anshul Bhargav,et al.  Pattern discovery and users classification through web usage mining , 2014, 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT).

[8]  K. Sudheer Reddy,et al.  An effective data preprocessing method for Web Usage Mining , 2013, 2013 International Conference on Information Communication and Embedded Systems (ICICES).

[9]  Sanjay Kumar Malik,et al.  Information Extraction Using Web Usage Mining, Web Scrapping and Semantic Annotation , 2011, 2011 International Conference on Computational Intelligence and Communication Networks.