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» An objective evaluation criterion for clustering
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IBPRIA
2007
Springer
14 years 1 months ago
Motion Segmentation from Feature Trajectories with Missing Data
Abstract. This paper presents a novel approach for motion segmentation from feature trajectories with missing data. It consists of two stages. In the first stage, missing data are...
Carme Julià, Angel Domingo Sappa, Felipe Lu...
ICDE
2007
IEEE
131views Database» more  ICDE 2007»
14 years 2 months ago
Incremental Clustering of Mobile Objects
Moving objects are becoming increasingly attractive to the data mining community due to continuous advances in technologies like GPS, mobile computers, and wireless communication ...
Sigal Elnekave, Mark Last, Oded Maimon
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
14 years 7 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
13 years 5 months ago
Clustering Trajectories of Moving Objects in an Uncertain World
Mining Trajectory Databases (TD) has recently gained great interest due to the popularity of tracking devices. On the other hand, the inherent presence of uncertainty in TD (e.g.,...
Nikos Pelekis, Ioannis Kopanakis, Evangelos E. Kot...
EAAI
2008
115views more  EAAI 2008»
13 years 7 months ago
Supply chain coordination: A game-theory approach
In a supply chain organized as a network of autonomous enterprises, the main objective of each partner is to optimize his production and supply policy with respect to his own econ...
Jean-Claude Hennet, Yasemin Arda