1950 search results - page 70 / 390 » Informative sampling for large unbalanced data sets |
107
Voted
SSD
2009
Springer
15 years 8 months ago
2009
Springer
A key issue in clustering data, regardless the algorithm used, is the definition of a distance function. In the case of trajectory data, different distance functions have been pro...
105
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KDD
1999
ACM
15 years 5 months ago
1999
ACM
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
CHI
2003
ACM
16 years 1 months ago
2003
ACM
We present a new technique for efficiently computing Degree-of-Interest distributions to inform the visualization of graph-structured data. The technique is independent of the int...
100
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DSS
2007
15 years 1 months ago
2007
Intelligence analysts construct hypotheses from large volumes of data, but are often limited by social and organizational norms and their own preconceptions and biases. The use of...
APCCM
2008
15 years 2 months ago
2008
We identify established tableaux techniques as an invaluable tool for semantic knowledge acquisition in the design process of relational databases. Sample databases allow users an...