Abstract | ||
---|---|---|
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. |
Year | DOI | Venue |
---|---|---|
1999 | 10.1007/3-540-48298-9_36 | DaWaK |
Keywords | Field | DocType |
temporal correlation verification,pattern composition control,time series pattern,temporal relationship,time series databases,cascade multiple pattern,cascading query language,temporal correlation verification language,time series,query language | SQL,Aggregate function,Data mining,Query language,Database query,Computer science,Composite pattern,Temporal database,Correlation,Database | Conference |
ISBN | Citations | PageRank |
3-540-66458-0 | 0 | 0.34 |
References | Authors | |
4 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chang-Shing Perng | 1 | 478 | 35.92 |
Douglas Stott Parker, Jr. | 2 | 175 | 304.16 |