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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Raschia, G. Mouaddib, N. |
| Copyright Year | 2001 |
| Description | Author affiliation: Inst. de Recherche en Informatique de Nantes, France (Raschia, G.; Mouaddib, N.) |
| Abstract | In this paper, some important features of a new approach to data summarization are introduced. Our model named SAINTETIQ produces summaries of groups of database records with different granularities. A summary is represented on each attribute by fuzzy sets associated to linguistic descriptors. One major feature of the SAINTETIQ system is the intensive use of background knowledge (BK) in the summarization process. BK is built a priori on each attribute. It supports both a translation step of descriptions of database tuples into a user-defined vocabulary, and a generalization step providing synthetic intents of summaries. Furthermore, the fuzzy set-based representation of summaries allows the system to improve robustness and accuracy of summary descriptions. |
| Starting Page | 1372 |
| Ending Page | 1375 |
| File Size | 374843 |
| Page Count | 4 |
| File Format | |
| ISBN | 078037293X |
| DOI | 10.1109/FUZZ.2001.1008913 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-12-02 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Spatial databases Fuzzy sets Vocabulary Fuzzy set theory Fuzzy systems Robustness Induction generators Relational databases |
| Content Type | Text |
| Resource Type | Article |
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