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» Efficient Processing of Spatial Joins Using R-Trees
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PVLDB
2008
138views more  PVLDB 2008»
13 years 8 months ago
A skip-list approach for efficiently processing forecasting queries
Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
Tingjian Ge, Stanley B. Zdonik
SIGMOD
2004
ACM
241views Database» more  SIGMOD 2004»
14 years 8 months ago
SINA: Scalable Incremental Processing of Continuous Queries in Spatio-temporal Databases
This paper introduces the Scalable INcremental hash-based Algorithm (SINA, for short); a new algorithm for evaluating a set of concurrent continuous spatio-temporal queries. SINA ...
Mohamed F. Mokbel, Xiaopeng Xiong, Walid G. Aref
PRIS
2004
13 years 9 months ago
Similarity Range Queries in Streaming Time Series
Similarity search in time series databases is an important research direction. Several methods have been proposed in order to provide algorithms for efficient query processing in t...
Maria Kontaki, Apostolos Papadopoulos, Yannis Mano...
DATAMINE
2000
118views more  DATAMINE 2000»
13 years 8 months ago
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
SSD
1999
Springer
99views Database» more  SSD 1999»
14 years 21 days ago
Algorithms for Joining R-Trees and Linear Region Quadtrees
The family of R-trees is suitable for storing various kinds of multidimensional objects and is considered an excellent choice for indexing a spatial database. Region Quadtrees are ...
Antonio Corral, Michael Vassilakopoulos, Yannis Ma...