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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xin-Ye Li Jin-Sha Yuan Ying-Hui Kong |
| Copyright Year | 2007 |
| Description | Author affiliation: North China Electr. Power Univ., Baoding (Xin-Ye Li; Jin-Sha Yuan; Ying-Hui Kong) |
| Abstract | Mining XML association rule is confronted with more challenges due to the inherent flexibilities of XML in both structure and semantics. In order to make mining XML association rule efficiently, we give a new definition of transaction and item in XML context, then build transaction database based on an index table. Based on our definition and the index table used for XML searching, we can check the include relation between a transaction and an item quickly. A high adaptive mining technique is also described. By using it, we can process mining rules with no guidance of interest associations given by users and mining unknown rules. We demonstrate the effectiveness of these techniques through experiments on real-life data. |
| Starting Page | 3905 |
| Ending Page | 3910 |
| File Size | 589316 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424409723 |
| DOI | 10.1109/ICMLC.2007.4370828 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data mining Association rules XML Machine learning Cybernetics Transaction databases Motion pictures Books Data engineering Power engineering and energy Include relation XML mining Association rule Index table |
| Content Type | Text |
| Resource Type | Article |
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