Analysis of aggregation operators in regression analysis

Regression analysis is one of the components of data mining techniques. Various regression algorithms have been proposed to mine the data efficiently and to propose a suitable business model. Every algorithm caters to a particular need and not necessarily produces the best fit futuristic model for all types of data. On the other hand, todays Web is expanding rapidly and affecting all aspects of our daily life. The complex nature of web data generated as a result of the complex nature of users browsing habit makes it very difficult for regression algorithm to generate the regression model with minimum outliers. This paper studies the use of different mathematical averaging operators in the regression analysis of such web based data and how these can be used to propose a better future model.