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Formalism for a multiresolution time series database model
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DOI：10.1016/j.is.2015.08.006.png)
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Abstract
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We formalise a specialised database management system model for time series using a multiresolution approach. These special purpose database systems store time series lossy compressed in a space-bounded storage. Time series can be stored at multiple resolutions, using distinct attribute aggregations and keeping its temporal attribute managed in a consistent way. The model exhibits a generic approach that facilitates its customisation to suit better the actual application requirements in a given context. The elements, the meaning of which depends on a real application, are of generic nature. Furthermore, we consider some specific time series properties that are a challenge in the multiresolution approach. We also describe a reference implementation of the model and introduce a use case based on real data. (C) 2015 Elsevier Ltd. All rights reserved.
Keywords:
Time series
Database systems
Multiresolution
Lossy compression
Approximate queries
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