Title: Forecasting and enhancing universities navigation outline procedure from web log data

Authors: A.R. Sivakumaran; P. Marikkannu

Addresses: Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India ' Department of Information Technology, Anna University Regional Centre, Coimbatore, Tamil Nadu, India

Abstract: Web mining (WM) is the programmed disclosure of client access design from web servers. Universities gather vast volumes of data in their day by day operations, produced naturally by web servers and gathered in server access logs. The research shows the forecasting and enhancing universities navigation from web log data (F&E-UN-WLD). In the primary stage, F&E-UN-WLD concentrates on isolating the potential clients in web log data (WLD). Trial comes about speak about methodology can enhance the quality of grouping for client route design in web utilisation mining frameworks. These outcomes can be utilised for foreseeing client's next solicitation in the tremendous web destinations.

Keywords: web mining; web log data; WLD; route design; navigation; web utilisation.

DOI: 10.1504/IJCAET.2019.100448

International Journal of Computer Aided Engineering and Technology, 2019 Vol.11 No.4/5, pp.513 - 526

Received: 04 Oct 2016
Accepted: 02 Mar 2017

Published online: 29 Mar 2019 *

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