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» Determining the Convex Hull in Large Multidimensional Databa...
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KDD
2000
ACM
222views Data Mining» more  KDD 2000»
13 years 8 months ago
Interactive exploration of very large relational datasets through 3D dynamic projections
The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
Li Yang
ICDE
2009
IEEE
180views Database» more  ICDE 2009»
14 years 6 months ago
Reverse Furthest Neighbors in Spatial Databases
Given a set of points P and a query point q, the reverse furthest neighbor (RFN) query fetches the set of points p P such that q is their furthest neighbor among all points in P {...
Bin Yao, Feifei Li, Piyush Kumar
DASFAA
2004
IEEE
102views Database» more  DASFAA 2004»
13 years 8 months ago
Efficient Declustering of Non-uniform Multidimensional Data Using Shifted Hilbert Curves
Abstract. Data declustering speeds up large data set retrieval by partitioning the data across multiple disks or sites and performing retrievals in parallel. Performance is determi...
Hak-Cheol Kim, Mario A. Lopez, Scott T. Leutenegge...
BTW
1999
Springer
129views Database» more  BTW 1999»
13 years 9 months ago
Dual Retrieval in Conceptual Information Systems
Conceptual Information Systems provide a multi-dimensional conceptually structured view on data stored in relational databases. On restricting the expressiveness of the retrieval l...
Gerd Stumme
SIGMOD
1996
ACM
120views Database» more  SIGMOD 1996»
13 years 9 months ago
Implementing Data Cubes Efficiently
Decision support applications involve complex queries on very large databases. Since response times should be small, query optimization is critical. Users typically view the data ...
Venky Harinarayan, Anand Rajaraman, Jeffrey D. Ull...