Abstract
We have introduced a concept of capturing different web log file, while the user is accessing the Distance Education System website and provide the user with the intelligent navigation behavior on his browser. Web log file is saved in text (.txt) format with “comma” separated attributes. Since the Log files consist of irrelevant and inconsistent access information, therefore there was a need to perform Web log preprocessing which includes different techniques such as field extraction, data cleaning, and data summarization. Preprocessed information is been given to intelligent navigation module and it allows the student to have most frequently viewed subject at the top of the list, which allows them to have easy access to the tutorial or chapter within the subject. The analysis allows enhancing the personalization services in distance education system and making the system much effective.
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Khosla, S., Bhojane, V. (2013). Performing Web Log Analysis and Predicting Intelligent Navigation Behavior Based on Student Accessing Distance Education System. In: Unnikrishnan, S., Surve, S., Bhoir, D. (eds) Advances in Computing, Communication, and Control. ICAC3 2013. Communications in Computer and Information Science, vol 361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36321-4_7
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DOI: https://doi.org/10.1007/978-3-642-36321-4_7
Publisher Name: Springer, Berlin, Heidelberg
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