User Future Request Prediction Using KFCM in Web Usage Mining

DILPREET KAUR; A.P. SUKHPREET KAUR Master of Technology in Computer Science &amp; Engineering; Sri Guru Granth Sahib World University; Fatehgarh Sahib; Punjab; India Assistant Professor; Department Of Computer Science &amp; Engineering; Sri Guru Granth Sahib World University; Fatehgarh Sahib; Punjab; India

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User Future Request Prediction Using KFCM in Web Usage Mining

DILPREET KAUR, A.P. SUKHPREET KAUR Master of Technology in Computer Science & Engineering, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India Assistant Professor, Department Of Computer Science & Engineering, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India

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Abstract: Web usage mining is a type of web mining which deals with log files for extracting the information about user browsing behavior. User future request prediction is an approach of web usage mining to predict the next web page for user. In this paper, KFCM method of fuzzy clustering is proposed to predict the user future requests. In this firstly log file data is collected and then preprocessed. After that clustering algorithms FCM and KFCM are implemented to predict the user future requests. The experimental results defining the betterment of KFCM for prediction.

Keywords: Web usage mining, Fuzzy C-Mean, Kernelized Fuzzy C-Mean.

How to Cite:

[1] DILPREET KAUR, A.P. SUKHPREET KAUR Master of Technology in Computer Science & Engineering, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India Assistant Professor, Department Of Computer Science & Engineering, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India, “User Future Request Prediction Using KFCM in Web Usage Mining,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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