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KDD
2005
ACM
205views Data Mining» more  KDD 2005»
14 years 3 months ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar
PAKDD
2005
ACM
94views Data Mining» more  PAKDD 2005»
14 years 3 months ago
Progressive Sampling for Association Rules Based on Sampling Error Estimation
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang
PKDD
2005
Springer
161views Data Mining» more  PKDD 2005»
14 years 3 months ago
Active Sampling for Knowledge Discovery from Biomedical Data
Abstract. We describe work aimed at cost-constrained knowledge discovery in the biomedical domain. To improve the diagnostic/prognostic models of cancer, new biomarkers are studied...
Sriharsha Veeramachaneni, Francesca Demichelis, Em...
VLSI
2005
Springer
14 years 3 months ago
Modeling the Traffic Effect for the Application Cores Mapping Problem onto NoCs
This work addresses the problem of application mapping in networks-on-chip (NoCs) having as goal to minimize the total dynamic energy consumption of a complex system-on-a-chip (So...
César A. M. Marcon, José Carlos S. P...
GECCO
2004
Springer
14 years 3 months ago
Shortcomings with Tree-Structured Edge Encodings for Neural Networks
In evolutionary algorithms a common method for encoding neural networks is to use a tree-structured assembly procedure for constructing them. Since node operators have difficulties...
Gregory Hornby