An Effective Preprocessing Method for Web Usage Mining
K. S. Raghavendra Reddy, G. P. Saradhi Varma, M. Kantha Reddy · International Journal of Computer Theory and Engineering · 2014
collection of various types of data differs not only on type of data available but also the data source site, the data source size and the way it is being implemented.The data preprocessing of WUM is focused research field nowadays.This research paper studies the preprocessing of data in Web usage mining.This research paper has organized in various sections, includesrelated research in this area, brief descriptions about the preprocessing of the usage mining and the proposed algorithms, investigation study to verify the productivity and effectiveness of the algorithms suggested and finally, conclusions and future scope of study has been proposed. II. RESEARCH OVERVIEWThis section, we can bring together some related research in data preprocessing.Web usage mining research has been a focus area for researchers across various research organizations and academia.Researchers found lot of interesting facts in this area.Though, preprocessing of the data in web usage mining has got fewer contributions and more focus was put on pattern discovery.Robert Cooley et.al [1] have investigated methods for identification of the user, session, episode, page view and path completion and also proposed some informal methods to address the complexities during preprocessing of data.Li Chaofeng proposed various data preprocessing algorithms for improving the efficiency.However, not even a single method has serious issues.In other research [2], the authors are compared time-based heuristics for visit reconstruction.III.