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| Author: | Kim, J.S. Kim, M.H. |
| Title: | An effective data clustering measure for temporal selection and projection queries |
| Journal: | Decision Support Systems
2000 : DEC, VOL. 30:1, p. 33-50 |
| Index terms: | DATA BASES |
| Freeterms: | DATA CLUSTERING TEMPORAL AFFINITY |
| Language: | eng |
| Abstract: | Temporal databases (TDBs) allow users to record and retrieve time-varying data objects. In this paper, the authors propose a data clustering measure called temporal affinity that can be used for effective temporal data clustering. The temporal affinity, which is based on the semantics of temporal operators, reflects the closeness of among temporal data objects with respect to temporal query processing. |
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