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INCDM
2010
Springer
208views Data Mining» more  INCDM 2010»
15 years 26 days ago
Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...
Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund, Barb...
CSDA
2007
142views more  CSDA 2007»
14 years 11 months ago
DIVCLUS-T: A monothetic divisive hierarchical clustering method
DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a decision tree. It i...
Marie Chavent, Yves Lechevallier, Olivier Briant
MP
2006
90views more  MP 2006»
14 years 11 months ago
Solving multistage asset investment problems by the sample average approximation method
The vast size of real world stochastic programming instances requires sampling to make them practically solvable. In this paper we extend the understanding of how sampling affects ...
Jörgen Blomvall, Alexander Shapiro
ENTCS
2010
88views more  ENTCS 2010»
14 years 8 months ago
Range and Set Abstraction using SAT
d Set Abstraction using SAT Edd Barrett Andy King School of Computing, University of Kent, CT2 7NF, UK Symbolic decision trees are not the only way to correlate the relationship b...
Edd Barrett, Andy King
99
Voted
CVPR
2011
IEEE
14 years 6 months ago
Mining Discriminative Co-occurrence Patterns for Visual Recognition
The co-occurrence pattern, a combination of binary or local features, is more discriminative than individual features and has shown its advantages in object, scene, and action rec...
Junsong Yuan, Ming Yang, Ying Wu