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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 3 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
ICAPR
2005
Springer
15 years 8 months ago
Combining Text and Link Analysis for Focused Crawling
The number of vertical search engines and portals has rapidly increased over the last years, making the importance of a topic-driven (focused) crawler evident. In this paper, we de...
George Almpanidis, Constantine Kotropoulos
BMCBI
2005
167views more  BMCBI 2005»
15 years 3 months ago
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
Patrick Warnat, Roland Eils, Benedikt Brors
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
16 years 4 months ago
Scalable Rule-Based Gene Expression Data Classification
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Mark A. Iwen, Willis Lang, Jignesh M. Patel
ICDM
2007
IEEE
248views Data Mining» more  ICDM 2007»
15 years 7 months ago
Adapting SVM Classifiers to Data with Shifted Distributions
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann