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» Approximation Techniques for Spatial Data
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SSD
1995
Springer
146views Database» more  SSD 1995»
13 years 11 months ago
Discovery of Spatial Association Rules in Geographic Information Databases
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
Krzysztof Koperski, Jiawei Han
SISAP
2010
IEEE
108views Data Mining» more  SISAP 2010»
13 years 5 months ago
Enlarging nodes to improve dynamic spatial approximation trees
Marcelo Barroso, Nora Reyes, Rodrigo Paredes
SIGMOD
1999
ACM
125views Database» more  SIGMOD 1999»
13 years 11 months ago
Selectivity Estimation in Spatial Databases
Selectivity estimation of queries is an important and wellstudied problem in relational database systems. In this paper, we examine selectivity estimation in the context of Geogra...
Swarup Acharya, Viswanath Poosala, Sridhar Ramaswa...
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
14 years 8 months ago
Cluster Hull: A Technique for Summarizing Spatial Data Streams
John Hershberger, Nisheeth Shrivastava, Subhash Su...
ICDE
2006
IEEE
201views Database» more  ICDE 2006»
14 years 8 months ago
Approximate Data Collection in Sensor Networks using Probabilistic Models
Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has propo...
David Chu, Amol Deshpande, Joseph M. Hellerstein, ...