International Journal of Data Mining and Emerging Technologies
  • Year: 2013
  • Volume: 3
  • Issue: 2

Analysis of Regression Techniques for Improved Information Extraction from Real-Time Industrial Dataset

1Assistant Professor, Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, India

2Research Scholar, Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, India

*kohli.shruti@gmail.com

**theankit@yahoo.com

Abstract

The popularity of online shopping portals is increasing day by day. As most of the interactions of these companies with their target audience are through online mode, they need to mine the available information for better and effective growth of the business. One of the mining techniques is regression analysis. Although there are many regression techniques available, they are used with minimum number of data instances to propose a suitable business model. This paper uses a very small real-time dataset and analyses the effect of using such regression techniques on this kind of fuzzy data.

Keywords

Data mining, WEKA, Regression, Web analytics, SMO regression