Research Issues in Web Data Mining
Conference Proceeding Article
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.
Databases and Information Systems
Data Management and Analytics
DataWarehousing and Knowledge Discovery: First International Conference, DaWaK’99 Florence, Italy, August 30-September 1, 1999: Proceedings
City or Country
Madria, Sanjay Kumar; Bhowmick, Sourav S.; NG, Wee-Keong; and LIM, Ee Peng.
Research Issues in Web Data Mining. (1999). DataWarehousing and Knowledge Discovery: First International Conference, DaWaK’99 Florence, Italy, August 30-September 1, 1999: Proceedings. 1676, 303-312. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/977