A Web Navigation Frame Work to Identify the Influence of Faculty on Students using Data mining TechniquesSundari R*
Department of Computer Science Engineering, GITAM University, India
- *Corresponding Author:
- Sundari R
Department of Computer Science Engineering
GITAM University, India
E-mail: [email protected]
Received Date: March 20, 2015; Accepted Date: July 27, 2015; Published Date: July 31, 2015
Citation: Sundari R (2015) A Web Navigation Frame Work to Identify the Influence of Faculty on Students using Data mining Techniques. J Comput Sci Syst Biol 08:239-242. doi: 10.4172/jcsb.1000195
Copyright: © 2015 Sundari R, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Analyzing student web browsing behavior is a challenging task. This paper mainly focuses on a methodology to identify the influencing factor that has driven a student towards navigating a particular web site. Most of the research in this direction is untouched to estimate the influence of faculty on the student’s behavioral patterns. In this work we focus on a novel statistical approach based on adaptive Gaussian mixture model, where the data clustered is given as input to the model to classify the student navigating pattern. The concept of regression analysis is used to find the relationship between student’s navigational behavior and faculty’s experience and rating. This article considers a real time dataset of GITAM University for experimentation.