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» Repairing Structurally Complex Data
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ICFP
2006
ACM
14 years 10 months ago
A technique for generic iteration and its optimization
Software libraries rely increasingly on iterators to provide generic traversal of data structures. These iterators can be represented either as objects that maintain state or as p...
Stephen M. Watt
ICDM
2008
IEEE
168views Data Mining» more  ICDM 2008»
14 years 4 months ago
Measuring Proximity on Graphs with Side Information
This paper studies how to incorporate side information (such as users’ feedback) in measuring node proximity on large graphs. Our method (ProSIN) is motivated by the well-studie...
Hanghang Tong, Huiming Qu, Hani Jamjoom
CIDM
2007
IEEE
14 years 2 months ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
DMDW
2001
307views Management» more  DMDW 2001»
13 years 11 months ago
An Analysis of Many-to-Many Relationships Between Fact and Dimension Tables in Dimensional Modeling
Star schema, which maintains one-to-many relationships between dimensions and a fact table, is widely accepted as the most viable data representation for dimensional analysis. Rea...
Il-Yeol Song, William Rowen, Carl Medsker, Edward ...
VIS
2007
IEEE
144views Visualization» more  VIS 2007»
14 years 11 months ago
Enhancing Depth-Perception with Flexible Volumetric Halos
Volumetric data commonly has high depth complexity which makes it difficult to judge spatial relationships accurately. There are many different ways to enhance depth perception, su...
Stefan Bruckner, M. Eduard Gröller