The TEXbook
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Maintaining knowledge about temporal intervals
Communications of the ACM
Approximate Queries and Representations for Large Data Sequences
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
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In this paper, we present SQL/LPP+, a temporal correlation verification language for time series databases. SQL/LPP+ is an extension of SQL/LPP[6] and inherits its ability to define time series patterns. SQL/LPP+ enables users to cascade multiple patterns using one or more of Allen's temporal relationships, and obtain the desired aggregates or meta-aggregates of the composition. The issues of pattern composition control are also discussed.