Abstract
Web Based Applications are data intensive. In addition to web content and structure, they collect huge amount of data in the form of User interactions with the web, forming Web Log Repository. Application of data mining techniques over the Web Log Repository to extract useful knowledge is referred to as Web Usage Mining. Web Usage Mining consists of three phases—Web Log Preprocessing, Knowledge Discovery and Pattern Analysis. In this paper, an efficient implementation for Web Log Pre-processing using Dimensionality Reduction Techniques and Combined Methodologies is presented.
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Shivaprasad, G., Subba Reddy, N.V., Dinesh Acharya, U., Aithal, P.K. (2016). Efficient Identification of Users and User Sessions from Web Log Repository Using Dimensionality Reduction Techniques and Combined Methodologies. In: Shetty, N., Prasad, N., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2553-9_16
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DOI: https://doi.org/10.1007/978-81-322-2553-9_16
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