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CIKM
2009
Springer
13 years 10 months ago
Probabilistic skyline queries
The ability to deal with uncertain information is becoming increasingly important for modern database applications. Whereas a conventional (certain) object is usually represented ...
Christian Böhm, Frank Fiedler, Annahita Oswal...
ADC
2003
Springer
123views Database» more  ADC 2003»
13 years 10 months ago
A Distance-Based Packing Method for High Dimensional Data
Minkowski-sum cost model indicates that balanced data partitioning is not beneficial for high dimensional data. Thus we study several unbalanced partitioning methods and propose ...
Tae-wan Kim, Ki-Joune Li
PVLDB
2010
91views more  PVLDB 2010»
13 years 3 months ago
Regret-Minimizing Representative Databases
We propose the k-representative regret minimization query (k-regret) as an operation to support multi-criteria decision making. Like top-k, the k-regret query assumes that users h...
Danupon Nanongkai, Atish Das Sarma, Ashwin Lall, R...
BTW
2007
Springer
142views Database» more  BTW 2007»
13 years 11 months ago
Getting Prime Cuts from Skylines over Partially Ordered Domains
: Skyline queries have recently received a lot of attention due to their intuitive query formulation: users can state preferences with respect to several attributes. Unlike numeric...
Wolf-Tilo Balke, Wolf Siberski, Ulrich Güntze...
PVLDB
2010
135views more  PVLDB 2010»
13 years 2 days ago
QSkycube: Efficient Skycube Computation using Point-Based Space Partitioning
Skyline queries have gained considerable attention for multicriteria analysis of large-scale datasets. However, the skyline queries are known to return too many results for highdi...
Jongwuk Lee, Seung-won Hwang