Weblog Data mining using modified K-Means Algorithm

Abstract

In present world only efficient websites achieve the expected business objectives. Increased business objectives results bulky websites, as it designed to serve multiple objectives of its users. These objectives are starts from product/service information, obtaining the communication details of interested client, Judge the quality of client, generate the different analytics required and many more. As business grows especially in ecommerce websites, it’s a challenge to make balance between contents size, web pages, and easy navigation in web structure so it can retain the customer base and helps to sustain business growth. The objective of this paper is to propose a way to organize the design of clusters of web pages based on modified K-means algorithm, which helps to effective organize the modified web structure with increased objectivities along with ease of users.

Keywords: K-means, Vector matrix, Clustering, Web mining