Modeling synchronized time series

Abstract : We consider the class of applications that manage time series (TS) and propose a data model and a query language that let these applications manipulate TS data sets at a logical level. We introduce the concept of synchronized time series (STS) to model the alignment of several time series in a common time space. We show how this concept helps to analyze and compare information extracted from time series, and how it constitutes a convenient tool that supports an extended set of operations. The main contribution of the paper is a formal query language that combines generic operators on TS with user-defined functions. The language can be evaluated in closed form over STS data sets and gives rise to rewriting and optimization techniques. Throughout the paper , we illustrate our approach with several examples drawn from a few representative TS applications.
Type de document :
Communication dans un congrès
IDEAS 2010 : Fourteenth International Database Engineering and Applications Symposium, 2010, Montreal, Canada. pp.82-89, 2010, <10.1145/1866480.1866493>
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https://hal.inria.fr/inria-00590974
Contributeur : Virginie Thion <>
Soumis le : mercredi 9 septembre 2015 - 22:03:01
Dernière modification le : mercredi 2 août 2017 - 10:10:10

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Zoé Faget, David Gross-Amblard, Philippe Rigaux, Virginie Thion-Goasdoué. Modeling synchronized time series. IDEAS 2010 : Fourteenth International Database Engineering and Applications Symposium, 2010, Montreal, Canada. pp.82-89, 2010, <10.1145/1866480.1866493>. <inria-00590974v2>

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