Publication Type
Conference Proceeding Article
Version
submittedVersion
Publication Date
9-1999
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.
Discipline
Databases and Information Systems
Publication
DataWarehousing and Knowledge Discovery: First International Conference, DaWaK’99 Florence, Italy, August 30-September 1, 1999: Proceedings
Volume
1676
First Page
303
Last Page
312
ISBN
9783540482987
Identifier
10.1007/3-540-48298-9_32
Publisher
Springer Verlag
City or Country
Florence, Italy
Citation
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.
Available at: https://ink.library.smu.edu.sg/sis_research/977
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1007/3-540-48298-9_32