Tuesday 23rd of April 2024
 

Classification of Web Log Data to Identify Interested Users Using Naïve Bayesian Classification


A. K. Santra and S. Jayasudha

Web Usage Mining (WUM) is the process of extracting knowledge from Web users access data by exploiting Data Mining technologies. It can be used for different purposes such as personalization, system improvement and site modification. Study of interested web users, provides valuable information for web designer to quickly respond to their individual needs. The main objective of this paper is to study the behavior of the interested users instead of spending time in overall behavior. The existing model used enhanced version of decision tree algorithm C4.5. In this paper, we propose to use the Naive Bayesian Classification algorithm for classifying the interested users and also we present a comparison study of using enhanced version of decision tree algorithm C4.5 and Naive Bayesian Classification algorithm for identifying interested users. The performance of this algorithm is measured for web log data with session based timing, page visits, repeated user profiling, and page depth to the site length. Experimental results conducted shows that the performance metric i.e., time taken and memory to classify the web log files are more efficient when compared to existing C4.5 algorithm.

Keywords: Web Usage Mining, Web Mining, Web Log Files, Classification

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ABOUT THE AUTHORS

A. K. Santra
A. K. Santra received the P. G. degree and Doctorate degree from I.I.T., Kharagpur in the year 1975 and 1981 respectively. He has got 20 years of Teaching Experience and 19 years of Industrial (Research) Experience. His area of interest includes Artificial Intelligence, Neural Networks, Process Modeling, Optimization and Control. He has got to his credit (i) 42 Technical Research Papers which are published in National / International Journals and Seminars of repute, (ii) 20 Research Projects have been completed in varied application areas, (iii) 2 Copy Rights for Software Development have been obtained in the area of Artificial Neural Networks (ANN) and (iv) he is the contributor of the book entitled “Mathematics and its Applications in Industry and Business”, Narosa Publishing House, New Delhi. He is the recognized Supervisor for guiding Ph. D. / M. S. (By Research) Scholars of Anna University-Chennai, Anna University-Coimbatore, Bharathiyar University, Coimbatore and Mother Teresa University, Kodaikanal. Currently he is guiding 12 Ph. D. Research Scholars in the Department. He is a Life member of CSI and a Life member of ISTE.

S. Jayasudha
S. Jayasudha received her M. C. A., from Periyar University, Salem, M.Phil., from Bharathidasan University , Trichy. Currently she is working as Asst.Professor in Bannari Amman Institute of Technology, Sathyamangalam. Her area of interest includes Web Mining, Text Mining. She is a Life member of Computer Society of India and a Life member of Indian Society for Technical Education.


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