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This work is licensed under a Creative Commons Attribution 4.0 International License.
Comparative Study of Web Mining Algorithms for Web Page Prediction in Recommendation System
Rahul Neve, K.P Adhiya
M.E Scholar, Dept of Computer Science and Engineering, SSBT‟s COET, Bambhori - Jalgaon, India Associate Professor & Head , Dept of Computer Engineering, SSBT‟s COET,Bambhori - Jalgaon, India
Abstract: This paper shows the comparative study and implementation of recommendation system based on two different web mining algorithms. The proposed system is designed for web page prediction in recommendation system as well as it is helpful for the study of web mining algorithm to get frequent sequential access pattern from web log file of web server. The experiments are conducted based on the implementation of the algorithms (GSP and Prefix Span) and results are noted down in which it is found that pattern growth based algorithm(Prefix Span) is efficient than apriori based algorithm (GSP) for web log sequential access pattern mining.
Keywords: Web Mining, Sequential access pattern, Data Mining, Web usage mining.
Keywords: Web Mining, Sequential access pattern, Data Mining, Web usage mining.
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This work is licensed under a Creative Commons Attribution 4.0 International License.How to Cite:
[1] Rahul Neve, K.P Adhiya, “Comparative Study of Web Mining Algorithms for Web Page Prediction in Recommendation System,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)