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164
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SPIRE
2005
Springer
15 years 8 months ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez
123
Voted
VLDB
1998
ACM
105views Database» more  VLDB 1998»
15 years 6 months ago
Computing Iceberg Queries Efficiently
Many applications compute aggregate functions over an attribute (or set of attributes) to find aggregate values above some specified threshold. We call such queries iceberg querie...
Min Fang, Narayanan Shivakumar, Hector Garcia-Moli...
126
Voted
BTW
2005
Springer
108views Database» more  BTW 2005»
15 years 8 months ago
Integrating the Relational Interval Tree into IBM's DB2 Universal Database Server
: User-defined data types such as intervals require specialized access methods to be efficiently searched and queried. As database implementors cannot provide appropriate index str...
Christoph Brochhaus, Jost Enderle, Achim Schlosser...
143
Voted
PVLDB
2008
113views more  PVLDB 2008»
15 years 1 months ago
Rewriting procedures for batched bindings
Queries, or calls to stored procedures/user-defined functions are often invoked multiple times, either from within a loop in an application program, or from the where/select claus...
Ravindra Guravannavar, S. Sudarshan
153
Voted
PODS
2010
ACM
306views Database» more  PODS 2010»
15 years 7 months ago
Optimizing linear counting queries under differential privacy
Differential privacy is a robust privacy standard that has been successfully applied to a range of data analysis tasks. But despite much recent work, optimal strategies for answe...
Chao Li, Michael Hay, Vibhor Rastogi, Gerome Mikla...