A model for a multiresolution time series database system
Document typeConference report
Rights accessOpen Access
European Commission's projectISENSE - Making Sense of Nonsense (EC-FP7-270428)
In this paper we propose a model for multiresolution time series database management systems. Thismodel stores compactly a time series and manages consistently its temporal dimension. This is achieved byextracting different resolutions and attributes summaries from the original time series. Our work is concerned inputting together two areas of study: time series analysis and database management systems. Time series analysisoffers a great deal of methodologies and algorithms to process time series data. Database systems field providessoftware expertise in managing data. Therefore, for many applications it is of primary relevance that databasesystems support time series.
CitationLlusà Serra, A.; Escobet, T.; Vila-Marta, S. A model for a multiresolution time series database system. A: International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases. "Proceedings of the international conferences: Cambridge, UK, February 20-22, 2013; 12th International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED '13),12th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems (SEPADS '13), 12th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications (EHAC '13), 12th WSEAS International Conference on Signal Processing, Robotics and Automation (ISPRA '13), 6th International Conference on Nanotechnology (NANOTECHNOLOGY '13), 10th International Conference on Engineering Education (EDUCATION '13), 6th International Conference on Engineering Mechanics, Structures, Engineering Geoglogy (EMESEG '12), 6th WSEAS International Conference on Urban Planning and Transportation (UPT '13), 1st International Conference on Structural Engineering (STENG '13), 1st International Conference on Early Childhood Education (ECED '13)". Athens: WSEAS Press, 2013, p. 55-60. ISBN 978-1-61804-162-3.
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