Affordable Access

Fuzzy-Clustering Web based on Mining

Authors
Publisher
ACADEMY PUBLISHER
Publication Date
Keywords
  • Web User
  • Cluster Analysis
  • Interest
Disciplines
  • Computer Science
  • Design

Abstract

Since web is increasingly important for individuals, analyzing user behaviors on webpages is becoming essential for system designers and website providers. But current solutions cannot meet high demands on high accuracy, low time consuming and sense of privacy. Therefore, this paper designed a fuzzy clustering algorithm based web interaction system, presented multiple linear regressions to analyses user’s browsing behavior. Finally, we designed a couple of experiment to demonstrate the efficacy of this paper design system. The result shows the interaction system worked with high accuracy, low time consuming and good performance of scalability.

There are no comments yet on this publication. Be the first to share your thoughts.