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PAKDD
2005
ACM
94views Data Mining» more  PAKDD 2005»
13 years 10 months ago
Progressive Sampling for Association Rules Based on Sampling Error Estimation
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang
ROBOCOMM
2007
IEEE
13 years 10 months ago
Distributed adaptive sampling using bounded-errors
—This paper presents a communication/coordination/ processing architecture for distributed adaptive observation of a spatial field using a fleet of autonomous mobile sensors. O...
Kévin Huguenin, Maria-João Rendas
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
13 years 9 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
CASES
2008
ACM
13 years 6 months ago
Multi-granularity sampling for simulating concurrent heterogeneous applications
Detailed or cycle-accurate/bit-accurate (CABA) simulation is a critical phase in the design flow of embedded systems. However, with increasing system complexity, full detailed sim...
Melhem Tawk, Khaled Z. Ibrahim, Smaïl Niar
ISMAR
2003
IEEE
13 years 9 months ago
Predicting Accuracy in Pose Estimation for Marker-based Tracking
Tracking is a necessity for interactive virtual environments. Marker-based tracking solutions involve the placement of fiducials in a rigid configuration on the object(s) to be ...
Larry S. Davis, Eric Clarkson, Jannick P. Rolland