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» Rank Selection in Multidimensional Data
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IVS
2002
82views more  IVS 2002»
13 years 7 months ago
A taxonomy of glyph placement strategies for multidimensional data visualization
Glyphs are graphical entities that convey one or more data values via attributes such as shape, size, color, and position. They have been widely used in the visualization of data ...
Matthew O. Ward
CIKM
2009
Springer
13 years 11 months ago
Efficient feature weighting methods for ranking
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
Hwanjo Yu, Jinoh Oh, Wook-Shin Han
EDBT
2008
ACM
124views Database» more  EDBT 2008»
14 years 7 months ago
Multi-dimensional search for personal information management systems
With the explosion in the amount of semi-structured data users access and store in personal information management systems, there is a need for complex search tools to retrieve of...
Amélie Marian, Christopher Peery, Thu D. Ng...
KDD
2010
ACM
318views Data Mining» more  KDD 2010»
13 years 5 months ago
DivRank: the interplay of prestige and diversity in information networks
Information networks are widely used to characterize the relationships between data items such as text documents. Many important retrieval and mining tasks rely on ranking the dat...
Qiaozhu Mei, Jian Guo, Dragomir R. Radev
VLDB
1997
ACM
112views Database» more  VLDB 1997»
13 years 11 months ago
Selectivity Estimation Without the Attribute Value Independence Assumption
The result size of a query that involves multiple attributes from the same relation depends on these attributes’ joint data distribution,i.e., the frequencies of all combination...
Viswanath Poosala, Yannis E. Ioannidis