Logical modeling of temporal data
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ACM Transactions on Database Systems (TODS)
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ACM SIGMOD Record
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ICTL '94 Proceedings of the First International Conference on Temporal Logic
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VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
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Proceedings of the 4th International Working Conference SSDBM on Statistical and Scientific Database Management
An Object-Oriented Data Model for a Time Series Management System
Proceedings of the Seventh International Working Conference on Scientific and Statistical Database Management
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Advanced Database Systems
An EER-Based Conceptual Model and Query Language for Time-Series Data
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
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Proceedings of the International Workshop on Temporal Databases: Recent Advances in Temporal Databases
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VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
iSAX: indexing and mining terabyte sized time series
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Encyclopedia of Database Systems
Encyclopedia of Database Systems
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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.