Artificial Neural Network Approach for Student‟s Behavior Analysis
Harish Kumar1, Anil Kumar Solanki2, Anuradha Taluja3
1Professor A.K.Solanki, PHD in Computer Science and Engineering from Bundelkhand University.
2Harish Kumar, M.Tech (IT) from Guru Gobind Singh Indraprastha University, Delhi. PHD from Mewar University, Chittorgarh.
3Anuradha Taluja, M.Tech from Guru Gobind Singh Indraprastha University, Delhi.
Manuscript received on March 02, 2014. | Revised Manuscript received on March 04, 2014. | Manuscript published on March 05, 2014. | PP: 31-35 | Volume-4 Issue-1, March 2014. | Retrieval Number: A2069034114/2014©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: India is one of the leading countries in the word for technical education and management education.