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KDD
2008
ACM
234views Data Mining» more  KDD 2008»
16 years 2 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...
147
Voted
BMCBI
2010
92views more  BMCBI 2010»
15 years 2 months ago
Integrating gene expression and GO classification for PCA by preclustering
Background: Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per g...
Jorn R. de Haan, Ester Piek, René C. van Sc...
COR
2006
97views more  COR 2006»
15 years 2 months ago
Evaluating the performance of cost-based discretization versus entropy- and error-based discretization
Discretization is defined as the process that divides continuous numeric values into intervals of discrete categorical values. In this article, the concept of cost-based discretiz...
Davy Janssens, Tom Brijs, Koen Vanhoof, Geert Wets
96
Voted
PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
15 years 9 months ago
Evaluation Measures for Multi-class Subgroup Discovery
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. It has previously predominantly been...
Tarek Abudawood, Peter Flach
FPL
2004
Springer
113views Hardware» more  FPL 2004»
15 years 8 months ago
An Evolvable Hardware Tutorial
Abstract. Evolvable Hardware (EHW) is a scheme - inspired by natural evolution, for automatic design of hardware systems. By exploring a large design search space, EHW may find so...
Jim Torresen