A Survey on Machine Learning Based Classification Algorithms for Web Usage Mining

Abstract

Machine learning as well as data mining is research areas of computer technology whose quick expansion is due to the advances in data analysis research, growth in the database industry as well as the resulting market requirements for methods that are accomplished of extracting valuable knowledge from large data stores. It is a powerful platform that stores as well as retrieves mass information besides it becomes a time consuming uncomfortable task to search the information due to unstructured as well as heterogeneous nature of data on the web development. Web usage mining is one of the popular techniques of data mining that is utilized to discover besides quotation useful information from web document besides its service. This survey paper, conduct a comprehensive overview of the state of the art methods, clustering based machine learning based algorithms and its advantages and disadvantages of web usage mining.