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SIGMOD
2010
ACM
259views Database» more  SIGMOD 2010»
15 years 7 months ago
PODS: a new model and processing algorithms for uncertain data streams
Uncertain data streams, where data is incomplete, imprecise, and even misleading, have been observed in many environments. Feeding such data streams to existing stream systems pro...
Thanh T. L. Tran, Liping Peng, Boduo Li, Yanlei Di...
MOBIDE
2006
ACM
15 years 8 months ago
Boosting location-based services with a moving object database engine
Composition of temporal and spatial properties of real world objects in a unified data framework results into Moving Object Databases (MOD). MODs are able to process, manage and a...
Nikos Pelekis, Yannis Theodoridis
108
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EUROPAR
2004
Springer
15 years 8 months ago
OLAP Query Processing in a Database Cluster
OLAP queries are typically heavy-weight and ad-hoc thus requiring high storage capacity and processing power. In this paper, we address this problem using a database cluster which...
Alexandre A. B. Lima, Marta Mattoso, Patrick Valdu...
ICDE
2011
IEEE
207views Database» more  ICDE 2011»
14 years 6 months ago
Monte Carlo query processing of uncertain multidimensional array data
— Array database systems are architected for scientific and engineering applications. In these applications, the value of a cell is often imprecise and uncertain. There are at le...
Tingjian Ge, David Grabiner, Stanley B. Zdonik
SIGMOD
1996
ACM
154views Database» more  SIGMOD 1996»
15 years 6 months ago
METU Interoperable Database System
METU INteroperable Database System (MIND) is a multidatabase system that aims at achieving interoperability among heterogeneous, federated DBMSs. MIND architecture is based on OMG...
Asuman Dogac, Ugur Halici, Ebru Kilic, Gökhan...