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» Informative sampling for large unbalanced data sets
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PAA
2002
15 years 1 months ago
Bagging, Boosting and the Random Subspace Method for Linear Classifiers
: Recently bagging, boosting and the random subspace method have become popular combining techniques for improving weak classifiers. These techniques are designed for, and usually ...
Marina Skurichina, Robert P. W. Duin
PKDD
2009
Springer
124views Data Mining» more  PKDD 2009»
15 years 8 months ago
Capacity Control for Partially Ordered Feature Sets
Abstract. Partially ordered feature sets appear naturally in many classification settings with structured input instances, for example, when the data instances are graphs and a fe...
Ulrich Rückert
168
Voted
VLDB
1997
ACM
175views Database» more  VLDB 1997»
15 years 5 months ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
TSMC
2008
126views more  TSMC 2008»
15 years 1 months ago
Information Visualization for DNA Microarray Data Analysis: A Critical Review
Graphical representation may provide effective means of making sense of the complexity and sheer volume of data produced by DNA microarray experiments that monitor the expression p...
Leishi Zhang, J. Kuljis, Xiaohui Liu
108
Voted
PAKDD
2009
ACM
225views Data Mining» more  PAKDD 2009»
15 years 6 months ago
Accurate Synthetic Generation of Realistic Personal Information
A large proportion of the massive amounts of data that are being collected by many organisations today is about people, and often contains identifying information like names, addre...
Peter Christen, Agus Pudjijono