caa a22 4500 47579933X CHVBK 20180406123733.0 cr unu---uuuuu 170329e20000701xx s 000 0 eng 10.1023/A:1008777711333 doi (NATIONALLICENCE)springer-10.1023/A:1008777711333 Temporal Coupling Verification in Time Series Databases [Elektronische Daten] [Chang-Shing Perng, D. Parker] Time series are often generated by continuous sampling or measurement of natural or social phenomena. In many cases, events cannot be represented by individual records, but instead must be represented by time series segments (temporal intervals). A consequence of this segment-based approach is that the analysis of events is reduced to analysis of occurrences of time series patterns that match segments representing the events. A major obstacle on the path toward event analysis is the lack of query languages for expressing interesting time series patterns. We have introduced SQL/LPP (Perng and Parker, 1999). Which provides fairly strong expressive power for time series pattern queries, and are now able to attack the problem of specifying queries that analyze temporal coupling, i.e., temporal relationships obeyed by occurrences of two or more patterns. In this paper, we propose SQL/LPP+, a temporal coupling verification language for time series databases. Based on the pattern definition language of SQL/LPP (Perng and Parker, 1999), SQL/LPP+ enables users to specify a query that looks for occurrences of a cascade of multiple patterns using one or more of Allen's temporal relationships (Allen, 1983) and obtain desired aggregates or meta-aggregates of the composition. Issues of pattern composition control are also discussed. Kluwer Academic Publishers, 2000 temporal coupling verification nationallicence time series databases nationallicence meta-aggregation nationallicence time series patterns nationallicence causality nationallicence Perng Chang-Shing Department of Computer Science, University of California, Los Angeles, USA aut Parker D. Department of Computer Science, University of California, Los Angeles, USA aut Journal of Intelligent Information Systems Kluwer Academic Publishers 15/1(2000-07-01), 29-49 0925-9902 15:1<29 2000 15 10844 https://doi.org/10.1023/A:1008777711333 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1008777711333 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Perng Chang-Shing Department of Computer Science, University of California, Los Angeles, USA aut NATIONALLICENCE 700 1- Parker D. Department of Computer Science, University of California, Los Angeles, USA aut NATIONALLICENCE 773 0- Journal of Intelligent Information Systems Kluwer Academic Publishers 15/1(2000-07-01), 29-49 0925-9902 15:1<29 2000 15 10844 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer