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» Evaluating algorithms that learn from data streams
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SEKE
2010
Springer
15 years 5 months ago
An Empirical Evaluation on the Relationship Between Final Auction Price and Shilling Activity in Online Auctions
In this paper, we are interested in the relationship between final prices of online auctions and possible shill activities during those auctions. We conduct experiments on real auc...
Fei Dong, Sol M. Shatz, Haiping Xu
DATAMINE
2000
118views more  DATAMINE 2000»
15 years 6 months ago
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
GRC
2010
IEEE
15 years 7 months ago
Local Pattern Mining from Sequences Using Rough Set Theory
Abstract--Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns ...
Ken Kaneiwa, Yasuo Kudo
ICRA
2010
IEEE
225views Robotics» more  ICRA 2010»
15 years 4 months ago
3D reconstruction of fish schooling kinematics from underwater video
This paper describes a probabilistic framework to estimate the shape and position of multiple fish in a school. We model the fish shape as an ellipsoid with a curvature coefficient...
Sachit Butail, Derek A. Paley
HAIS
2010
Springer
15 years 4 months ago
Reducing Dimensionality in Multiple Instance Learning with a Filter Method
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
Amelia Zafra, Mykola Pechenizkiy, Sebastián...