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A number of algorithms have been proposed for the discovery of temporal patterns. However, since the number of generated patterns can be large, selecting which patterns to analyze can be non-trivial. There is thus a need for algorithms and tools that can assist in the selection of discovered patterns so that subsequent analysis can be performed in an efficient and, ideally, interactive manner. In this paper, we propose a signature-based indexing method, to optimise the storage and retrieval of a large collection of relative temporal patterns.
Data Storage Representations, Indexing methods, Temporal databases
John F. Roddick, Edi Winarko, "A Signature-Based Indexing Method for Efficient Content-Based Retrieval of Relative Temporal Patterns", IEEE Transactions on Knowledge & Data Engineering, vol. 20, no. , pp. 825-835, June 2008, doi:10.1109/TKDE.2008.20
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