The Study of the Usage of Data Analytic and Clustering Techniques for Web Elements

Abstract

Clustering various web elements facilitates data analysis, which plays an important role in our day-to-day life. Due to massive use of internet and huge electronic data access, some useful technique is needed for web element analysis. Grouping the data according to the categories is the tasks that are helpful in data analysis. Thus, clustering of web elements in various ways is needed. Many researchers are working on cluster analysis and its use for web elements. As a result, various clustering algorithms and tools are developed and used for web analytics. Our study includes a survey of some commonly used clustering algorithms to identify the usage of clustering techniques for improving web elements analysis, in various ways. The study focuses various uses of clustering for web data such as search result clustering to improve result visualization, for segment marketing, and to detect sensitive website.