Fuzzy c-Least Medians clustering for discovery of web access patterns from web user sessions data-Reference-Cited by-同舟云学术

Fuzzy c-Least Medians clustering for discovery of web access patterns from web user sessions data

Published:2017-06-29 Issue:3 Volume:21 Page:553-575
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Ansari Zahid¹,Faizabadi Ahmed Rimaz²,Afzal Asif³

Affiliation:

1. Department of Computer Science Engineering, P.A. College of Engineering, Mangaluru, India

2. Department of Information Science Engineering, P.A. College of Engineering, Mangaluru, India

3. Department of Mechanical Engineering, P.A. College of Engineering, Mangaluru, India

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference67 articles.

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3. G. Neelima and S. Rodda, An overview on web usage mining, in: Emerging ICT for Bridging the Future-Proceedings of the 49th Annual Convention of the Computer Society of India CSI, Springer 2 (2015), 647–655.

4. A fuzzy neural network based framework to discover user access patterns from web log data;Ansari;Advances in Data Analysis and Classification, Springer Berlin Heidelberg,2015

5. Soft clustering-fuzzy and rough approaches and their extensions and derivatives;Peters;International Journal of Approximate Reasoning,2013

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