Source: Journal of Computational and Theoretical Nanoscience, Volume 17, Numbers 9-10, September/October 2020, pp. 4432-4437(6)
Publisher: American Scientific Publishers
DOI: https://doi.org/10.1166/jctn.2020.9091
Abstract
Web Usage Mining applies fewer techniques in record data to pull out the behavior of users. The knowledge mined from the web log can be utilized in web personalization, Prediction, prefetching, restructuring of web sites etc. It consists of three steps in preprocessing, pattern detection and analysis. Web log information is typically noisy and uncertain and preprocessing is a significant process ahead of mining. The Patterns discovered after applying the mining techniques are dependent on the accuracy of the weblog which in turn depends on the preprocessing phase. The output of preprocessing should be the user’s navigation session file. In this paper the techniques of preprocessing and the method for construction of user’s navigation session file is proposed.
Keywords: Data Cleaning; Path Completion; Session Identification; User Identification; Web Log Mining
Document Type: Research Article
Affiliations: 1: Director-SAP Practice-Analytics-Big Data-Cloud, Miracle Software Systems, 48374, USA 2: Department of Information Institute of Engineering and Technology, Devi Ahilya University, Indore, 452020, India 3: Department of Computer Applications, MS Ramaiah Institute of Technology, Bangalore, 560054 India
Publication date: September 1, 2020
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Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. … more
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