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ICDE
2008
IEEE
194views Database» more  ICDE 2008»
14 years 6 months ago
P-Cube: Answering Preference Queries in Multi-Dimensional Space
Many new applications that involve decision making need online (i.e., OLAP-styled) preference analysis with multidimensional boolean selections. Typical preference queries includes...
Dong Xin, Jiawei Han
VLDB
1999
ACM
159views Database» more  VLDB 1999»
13 years 9 months ago
Aggregation Algorithms for Very Large Compressed Data Warehouses
Many efficient algorithms to compute multidimensional aggregation and Cube for relational OLAP have been developed. However, to our knowledge, there is nothing to date in the lite...
Jianzhong Li, Doron Rotem, Jaideep Srivastava
APWEB
2010
Springer
13 years 8 months ago
Computing Large Skylines over Few Dimensions: The Curse of Anti-correlation
The skyline of a set P of multi-dimensional points (tuples) consists of those points in P for which no clearly better point in P exists, using component-wise comparison on domains ...
Henning Köhler, Jing Yang
SAC
2008
ACM
13 years 4 months ago
Continuous k-dominant skyline computation on multidimensional data streams
Skyline queries are important due to their usefulness in many application domains. However, by increasing the number of attributes, the probability that a tuple dominates another ...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
ICDE
2006
IEEE
138views Database» more  ICDE 2006»
14 years 6 months ago
SUBSKY: Efficient Computation of Skylines in Subspaces
Given a set of multi-dimensional points, the skyline contains the best points according to any preference function that is monotone on all axes. In practice, applications that req...
Yufei Tao, Xiaokui Xiao, Jian Pei