Research issues in web data mining

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Abstract

In this paper, we discuss mining with respect to web data referred here as web data mining. In particular, our focus is on web data mining research in context of our web warehousing project called WHOWEDA (Warehouse of Web Data). We have categorized web data mining into threes areas; web content mining, web structure mining and web usage mining. We have highlighted and discussed various research issues involved in each of these web data mining category. We believe that web data mining will be the topic of exploratory research in near future.

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Madria, S. K., Bhowmick, S. S., Ng, W. K., & Lim, E. P. (1999). Research issues in web data mining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1676, pp. 303–312). Springer Verlag. https://doi.org/10.1007/3-540-48298-9_32

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