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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chih-Hung Wu Yen-Liang Wu Yuan-Ming Chang Ming-Hung Hung |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Computer Center, Fortune Institute of Technology, Daliao, Kaohsiung 831, Taiwan (Yuan-Ming Chang) || Department of Electrical Engineering, National University of Kaohsiung, Nan-Tzu, Kaohsiung 811, Taiwan (Chih-Hung Wu; Ming-Hung Hung) || TATUNG System Technologies Inc., Zhongshan, Taipei 104, Taiwan (Yen-Liang Wu) |
| Abstract | Analyzing user's browsing sequences is an important task of web usage mining. It can help the web administrators or designers improve the web structure or tune the performance of the web servers. Mining on the sequences of such clicking patterns (MSCP) can be considered as a data mining task. MSCP is usually a costly task due to its considerable amount of time for computation and storage for archiving a huge amount of data. Running MSCP becomes inefficient or even not workable on a computer with limited resources. This paper explores the deployment of MSCP in a distributed grid computing environment and demonstrates its effectiveness by empirical cases. The use of a grid-environment and associated experimental results are presented and discussed. |
| Starting Page | 2909 |
| Ending Page | 2914 |
| File Size | 614765 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424465262 |
| e-ISBN | 9781424465279 |
| DOI | 10.1109/ICMLC.2010.5580751 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | High definition video Random access memory Companies click streams Web usage mining sequential patterns grid computing browsing sequences |
| Content Type | Text |
| Resource Type | Article |
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