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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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
1999
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/977 https://ink.library.smu.edu.sg/context/sis_research/article/1976/viewcontent/5580438216c74effb593ee10ac29f7d5d397.pdf |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | 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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