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» How to Find Big-Oh in Your Data Set (and How Not to)
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IDA
1997
Springer
13 years 9 months ago
How to Find Big-Oh in Your Data Set (and How Not to)
The empirical curve bounding problem is de ned as follows. Suppose data vectors X Y are presented such that E(Y i]) = f(X i]) where f(x) is an unknown function. The problem is to a...
Catherine C. McGeoch, Doina Precup, Paul R. Cohen
ICDE
2000
IEEE
120views Database» more  ICDE 2000»
14 years 6 months ago
Deflating the Dimensionality Curse Using Multiple Fractal Dimensions
Nearest neighbor queries are important in many settings, including spatial databases (Find the k closest cities) and multimedia databases (Find the k most similar images). Previou...
Bernd-Uwe Pagel, Flip Korn, Christos Faloutsos

Publication
209views
12 years 4 months ago
An Exploratory Study on Open Conversation Spaces in Global Software Engineering
Software engineering is by nature a highly collaborative activity and being able to collaborate effectively is a key factor for project success. However, collaborating effectivel...
Kevin Dullemond, Ben van Gameren, Rini van Solinge...