Implementation of Web Page Suggestion in Web mining

Authors

  • Gupta AN PG Student (CSE), Dept. of CSE, RCOEM Nagpur, Maharashtra India
  • Karandikar AM Assistant Professor, Dept. of CSE, RCOEM Nagpur, Maharashtra, India

Keywords:

Web Mining, Pre-processing, Fuzzy C Mean Algorithm, Fuzzy Logic

Abstract

Web is a treasure of information and data, where enormous amount of data is and searching the worthwhile data from the web is a difficult job; therefore the web mining algorithm is employed to recognize the pattern and information from the data. This paper includes Mining Algorithms for evaluation and the implementation of frequent pattern analysis. We implemented pre-processing of web log (stastistical) data and then performed FCM clustering for taking similar interest that is overlapped clustering which allows one data object to belong to two or more clusters . Finally we suggest mostly viewed URLs related to user.

References

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Published

2024-02-26

How to Cite

Gupta, A. N., & Karandikar, A. M. (2024). Implementation of Web Page Suggestion in Web mining. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(06), 840–844. Retrieved from https://ijact.in/index.php/j/article/view/150

Issue

Section

Original Research Article

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