Abstract
Pattern mining is one of the most pivotal steps in data mining; pattern mining immediately comes after the preprocessing phase of WUM. Pattern discovery deals with the sorted set of data items presented as part of the sequence. Pattern mining, users can recognize the web paths follow on a web site easily. The aim of this research discovers the patterns which are most relevant and interesting by using a Web usage mining process. The server web logs aids are the input to this process. Our target is to discover users’ behavior, who has visited the web sites for less number of times. We have enlightened a method for clustering, based on the pattern summaries. We have conducted intense experiments and the results are shown in this paper.
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Sudheer Reddy, K., Santhosh Kumar, C.N., Sitaramulu, V., Kantha Reddy, M. (2013). Discovering Web Usage Patterns - A Novel Approach. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA). Advances in Intelligent Systems and Computing, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35314-7_21
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DOI: https://doi.org/10.1007/978-3-642-35314-7_21
Publisher Name: Springer, Berlin, Heidelberg
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