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VLDB
2004
ACM
178views Database» more  VLDB 2004»
14 years 1 months ago
High-Dimensional OLAP: A Minimal Cubing Approach
Data cube has been playing an essential role in fast OLAP (online analytical processing) in many multi-dimensional data warehouses. However, there exist data sets in applications ...
Xiaolei Li, Jiawei Han, Hector Gonzalez
EDBT
2006
ACM
182views Database» more  EDBT 2006»
14 years 7 months ago
On High Dimensional Skylines
In many decision-making applications, the skyline query is frequently used to find a set of dominating data points (called skyline points) in a multidimensional dataset. In a high-...
Chee Yong Chan, H. V. Jagadish, Kian-Lee Tan, Anth...
SIGMOD
2009
ACM
191views Database» more  SIGMOD 2009»
14 years 8 months ago
Scalable skyline computation using object-based space partitioning
The skyline operator returns from a set of multi-dimensional objects a subset of superior objects that are not dominated by others. This operation is considered very important in ...
Shiming Zhang, Nikos Mamoulis, David W. Cheung
IV
2007
IEEE
160views Visualization» more  IV 2007»
14 years 2 months ago
Targeted Projection Pursuit for Interactive Exploration of High- Dimensional Data Sets
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
Joe Faith
ICCV
1998
IEEE
14 years 9 months ago
A Metric for Distributions with Applications to Image Databases
Proceedings of the 1998 IEEE International Conference on Computer Vision, Bombay, India We introduce a new distance between two distributions that we call the Earth Mover's D...
Yossi Rubner, Carlo Tomasi, Leonidas J. Guibas