ANALYSIS END USER BEHAVIOR OVER WEB SCENARIO FOR EFFICIENT PREFETCHING THROUGH BIG DATA ANALYSIS
Abstract

Author(s): Anil Nayak, Shivendra Dubey, Umesh Joshi, Mukesh Dixit

Web caching and restoration are the most common techniques that play a key role in improving web performance by keeping web objects that are likely to be visited in the near future closer to the custo mer. Web caching can work independently or in combination with Web pre-fetching. Cache and Web fetching can complement each other as the temporary Log file is a crucial part of web application. The log analysis is an important issue for the web application. Log file is not to be over emphasized as a source of information in systems and network management, whereas conduct efficient investigation and gathering of useful information need to correlate different log file. Task of analyzing event log files with the ever-increasing size and complexity of today's event logs has become cumbersome to carry out manually. Nowadays latest spotlight is automatic analysis of these logs files. Analysis of Web log is an innovative and unique domain constantly formed and modified by the convergence of several emerging web technologies. Because of its interdisciplinary nature, the diversity of issues addressed, the variety and the number of Web applications, is subject to many different methodologies. Proposed methodology has been used as effective web pre-fetching technique for frequent page generation by using relative position by inter session gap. The fast and efficient web pre-fetching scheme has improved user response of web page and expedites users visiting speed. Keywords: Web mining, web caching, web prefetching, Clustering, Client server Architecture, Log File.

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Citations : 32

Journal of Harmonized Research in Engineering received 32 citations as per google scholar report

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