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Processing queries approximately is an effective way to reduce query response time in on-line support systems, especially when the precise answer is not necessary or early feedback is helpful. In an approximate query processing system, a query is answered based on the data synopses instead of the original data. The key of this research area is to develop effective synopses construction techniques. In this monograph, we will investigate various approximate query processing techniques developed in the relational database, spatio-temporal database and in the data stream environment.

Produktbeschreibung
Processing queries approximately is an effective way to reduce query response time in on-line support systems, especially when the precise answer is not necessary or early feedback is helpful. In an approximate query processing system, a query is answered based on the data synopses instead of the original data. The key of this research area is to develop effective synopses construction techniques. In this monograph, we will investigate various approximate query processing techniques developed in the relational database, spatio-temporal database and in the data stream environment.
Autorenporträt
Dr. Qing Zhang received his BSc degree from Tsinghua university, China. He got his Phd degree in computer science from the University of New South Wales (UNSW), Australia, in 2005. He is a research scientist in the Australian e-Health research centre (AEHRC). He has been leading the Health Data Stream Analytics project since 2009.