DocumentCode :
610425
Title :
Query time scaling of attribute values in interval timestamped databases
Author :
Dignos, A. ; Bohlen, M. ; Gamper, J.
Author_Institution :
Dept. of Comput. Sci., Univ. of Zurich, Zurich, Switzerland
fYear :
2013
fDate :
8-12 April 2013
Firstpage :
1304
Lastpage :
1307
Abstract :
In valid-time databases with interval timestamping each tuple is associated with a time interval over which the recorded fact is true in the modeled reality. The adjustment of these intervals is an essential part of processing interval timestamped data. Some attribute values remain valid if the associated interval changes, whereas others have to be scaled along with the time interval. For example, attributes that record total (cumulative) quantities over time, such as project budgets, total sales or total costs, often must be scaled if the timestamp is adjusted. The goal of this demo is to show how to support the scaling of attribute values in SQL at query time.
Keywords :
SQL; database management systems; query processing; SQL; attribute value query time scaling; interval timestamped data processing; interval timestamped databases; project budgets; total costs; total sales; Aggregates; Algebra; Artificial intelligence; Databases; Integral equations; Market research; Semantics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering (ICDE), 2013 IEEE 29th International Conference on
Conference_Location :
Brisbane, QLD
ISSN :
1063-6382
Print_ISBN :
978-1-4673-4909-3
Electronic_ISBN :
1063-6382
Type :
conf
DOI :
10.1109/ICDE.2013.6544930
Filename :
6544930
Link To Document :
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