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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jianxi Zhang Peiying Zhao Lin Shang Lunsheng Wang |
| Copyright Year | 2009 |
| Description | Author affiliation: Shandong institute of commerce and technology, Shandong, 250103, China (Jianxi Zhang; Lin Shang; Lunsheng Wang) || Donghua University, Shanghai 201620, China (Peiying Zhao) |
| Abstract | Data mining focuses on the techniques of non-trivial extraction of implicit, previously unknown, and potentially useful information from very large amounts of data. Web mining can be defined simply as the application of data mining techniques to Web data. Web usage mining (WUM) is an important category in web mining. Web usage mining is an important and fast developing area of web mining where a lot of research has been done already. We improved the fuzzy clustering algorithm to find groups which share common interests and behaviors by analyzing the data collected in Web servers. |
| Starting Page | 209 |
| Ending Page | 212 |
| File Size | 446368 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424442478 |
| DOI | 10.1109/CCCM.2009.5267789 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy control Technology management Clustering algorithms Web pages Communication system control Web mining Internet Data mining Web server Information analysis |
| Content Type | Text |
| Resource Type | Article |
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