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  • 标题:Artificial Neural Network Approach for Student’s Behavior Analysis
  • 本地全文:下载
  • 作者:Harish Kumar ; Anil Kumar Solanki ; Anuradha Taluja
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2014
  • 卷号:4
  • 期号:1
  • 页码:31-35
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:India is one of the leading countries in the word for technical education and management education. A study shows that in India e-education is growing with a massive growth. The students find relevant information from various e-education web sites. Numbers of pages are indexed on www and finding the desired information is not an easy task. For solving this problem we need an approach which helps in finding precise solution as per students need. In this paper we also use Web log analysis via neural network structure. We are using a neural approach with fuzzy clustering that shows the analysis of web logs, depends on the performance of the clustering the number of requests. Clustered data is used to analyze with neural approach for effective web site modification and behavior analysis. The proposed model use neural network approach with a firing rule to discover and analyze useful knowledge from the available Web log data
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