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» Efficient Processing of Spatial Joins Using R-Trees
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VLDB
2007
ACM
145views Database» more  VLDB 2007»
14 years 8 months ago
Executing Stream Joins on the Cell Processor
Low-latency and high-throughput processing are key requirements of data stream management systems (DSMSs). Hence, multi-core processors that provide high aggregate processing capa...
Bugra Gedik, Philip S. Yu, Rajesh Bordawekar
VLDB
1989
ACM
104views Database» more  VLDB 1989»
14 years 14 days ago
Event-Join Optimization in Temporal Relational Databases
An Event-Join combinestemporaljoin and outerjoin properties into a single operation. It is mostly used to group temporal attributes of an entity into a single relation. In this pa...
Arie Segev, Himawan Gunadhi
VLDB
1994
ACM
121views Database» more  VLDB 1994»
14 years 15 days ago
The Impact of Global Clustering on Spatial Database Systems
Global clustering has rarely been investigated in the area of spatial database systems although dramatic performance improvements can be achieved by using suitable techniques. In ...
Thomas Brinkhoff, Hans-Peter Kriegel
NATO
1993
14 years 16 days ago
METU Object-Oriented DBMS
METU Object-Oriented DBMS 1 includes the implementation of a database kernel, an object-oriented SQL-like language and a graphical user interface. Kernel functions are divided bet...
Asuman Dogac, Cetin Ozkan, Ismailcem Budak Arpinar...
GIS
2005
ACM
14 years 9 months ago
Two ellipse-based pruning methods for group nearest neighbor queries
Group nearest neighbor (GNN) queries are a relatively new type of operations in spatial database applications. Different from a traditional kNN query which specifies a single quer...
Hongga Li, Hua Lu, Bo Huang, Zhiyong Huang