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

Shivaprsad, G and Reddy, Subba N V and Acharya, Dinesh U and Aithal, Prakash K (2015) Efficient Identification of Users and User Sessions from Web Log Repository Using Dimensionality Reduction Techniques and Combined Methodologies. In: International Conference on Emerging Research in Computing, Information, Communication and Applications, 31/07/2015, Bangalore, India.

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Abstract

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 forWeb Log Pre-processing using Dimensionality Reduction Techniques and Combined Methodologies is presented

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Web usage mining ıWeb log repository ıWeb log Pre-processing
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 14 Jan 2016 16:13
Last Modified: 14 Jan 2016 16:13
URI: http://eprints.manipal.edu/id/eprint/145049

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