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» Evaluation of Sampling for Data Mining of Association Rules
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BMCBI
2007
172views more  BMCBI 2007»
13 years 7 months ago
Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, R...
SAC
2010
ACM
14 years 2 months ago
Background knowledge in formal concept analysis: constraints via closure operators
The aim of this short paper is to present a general method of using background knowledge to impose constraints in conceptual clustering of object-attribute relational data. The pr...
Radim Belohlávek, Vilém Vychodil
INFOVIS
2003
IEEE
14 years 19 days ago
Exploring High-D Spaces with Multiform Matrices and Small Multiples
We introduce an approach to visual analysis of multivariate data that integrates several methods from information visualization, exploratory data analysis (EDA), and geovisualizat...
Alan M. MacEachren, Xiping Dai, Frank Hardisty, Di...
KAIS
2006
126views more  KAIS 2006»
13 years 7 months ago
Fast and exact out-of-core and distributed k-means clustering
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
Ruoming Jin, Anjan Goswami, Gagan Agrawal
NIPS
1990
13 years 8 months ago
Bumptrees for Efficient Function, Constraint and Classification Learning
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
Stephen M. Omohundro