Research issues in web data mining
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 min...
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1999
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sg-smu-ink.sis_research-19762018-06-20T02:36:02Z Research issues in web data mining MADRIA, Sanjay Kumar BHOWMICK, Sourav S. NG, Wee-Keong LIM, Ee Peng 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. 1999-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/977 info:doi/10.1007/3-540-48298-9_32 https://ink.library.smu.edu.sg/context/sis_research/article/1976/viewcontent/5580438216c74effb593ee10ac29f7d5d397.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems |
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Databases and Information Systems MADRIA, Sanjay Kumar BHOWMICK, Sourav S. NG, Wee-Keong LIM, Ee Peng Research issues in web data mining |
| description |
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. |
| format |
text |
| author |
MADRIA, Sanjay Kumar BHOWMICK, Sourav S. NG, Wee-Keong LIM, Ee Peng |
| author_facet |
MADRIA, Sanjay Kumar BHOWMICK, Sourav S. NG, Wee-Keong LIM, Ee Peng |
| author_sort |
MADRIA, Sanjay Kumar |
| title |
Research issues in web data mining |
| title_short |
Research issues in web data mining |
| title_full |
Research issues in web data mining |
| title_fullStr |
Research issues in web data mining |
| title_full_unstemmed |
Research issues in web data mining |
| title_sort |
research issues in web data mining |
| publisher |
Institutional Knowledge at Singapore Management University |
| publishDate |
1999 |
| url |
https://ink.library.smu.edu.sg/sis_research/977 https://ink.library.smu.edu.sg/context/sis_research/article/1976/viewcontent/5580438216c74effb593ee10ac29f7d5d397.pdf |
| _version_ |
1770570811898331136 |