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Extracting of Frequent Web Page Patterns Using FPPM Algorithm

D. Gandhimathi*, N. Anbazhagan**

* Department of Master of Computer Application, Loyola Institute of Technology, Tamil Nadu, India.

** Department of Mathematics, Alagappa University, Tamil Nadu, India.

Periodicity:September - November'2019
DOI : https://doi.org/10.26634/jcom.7.3.15801

Abstract

The navigational behaviors of online users are used to improve the design and quality of web pages. For this purpose, the researcher should identify the frequent patterns over a period of time. This paper proposes a numeric matrix based on an approach namely Frequent Page Patterns from Matrix algorithm (FPPM). It yields frequent page patterns that diminish the time intricacy during the processing without degrading the accuracy of results. Navigational behaviors of users are stored in the log file. It can able to produce the associated web pages. There are three various Phases of proposed work. In the first phase, authors pre-process the raw web log dataset. It removes irrelevant data from the dataset. It identifies the sessions according to the interval-based time-limit. In the second phase, the data are clustered, using k-means clustering. Finally, authors apply the FPPM algorithm to mine associated web pages, and it consumes less time. By doing this work, the authors can identify which web pages are really associated with each other. Authors can able to know how to improve the quality of a specific web page based on association results. The relevant records are only progress by this proposed algorithm.

Keywords

Clustering Algorithms, Frequent Patterns, Data Mining, Data Preprocessing, Web Mining.

How to Cite this Article?

Gandhimathi, D., Anbazhagan, N. (2019). Extracting of Frequent Web Page Patterns Using FPPM Algorithm, i-manager's Journal on Computer Science, 7(3), 23-35. https://doi.org/10.26634/jcom.7.3.15801

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