Effective Mining of Internet Log using Neural Network Approach |
Author(s): |
| Nilam Shah , Sankalchand Patel College of Engineering; Vishal P. Patel, Sankchand Patel College of Engineering |
Keywords: |
| Web Log File, Server Log File, Web Usage Mining, Neural Network |
Abstract |
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Web log file mining is the area of data mining which deals with the discovery and analysis of usage pattern from web data, specifically web logs in order to improve web based application. Log file is include information according to the user and these information are very noisy and irrelevant data so use web usage mining. Web usage mining attempts to discover useful knowledge from the interaction of the users with the web. In the Web usage mining first one is data preprocessing, pattern discovery and pattern analysis for clean the data , filter and extract the interesting pattern. Preprocessed step improve skill and ease of mining process and reduce the data volume for pattern discovery phase. In the web usage mining, various data mining technique use for pattern discovery. Apply neural network in data mining technique. Neural network have the ability of parallel processing. Neural network itself is very suitable for solving the problems of data mining. In this work, we use neural network approach in the process of web usage mining to detect user’s patterns and with high accuracy and less processing time and discover the knowledge. |
Other Details |
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Paper ID: IJSRDV3I30276 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 382-385 |
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