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» A Robust Decision Tree Algorithm for Imbalanced Data Sets
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CASDMKM
2004
Springer
147views Data Mining» more  CASDMKM 2004»
13 years 10 months ago
Data Set Balancing
This paper conducts experiments with three skewed data sets, seeking to demonstrate problems when skewed data is used, and identifying counter problems when data is balanced. The b...
David L. Olson
INTERSPEECH
2010
13 years 3 days ago
Coping imbalanced prosodic unit boundary detection with linguistically-motivated prosodic features
Continuous speech input for ASR processing is usually presegmented into speech stretches by pauses. In this paper, we propose that smaller, prosodically defined units can be ident...
Yi-Fen Liu, Shu-Chuan Tseng, Jyh-Shing Roger Jang,...
KDD
1995
ACM
216views Data Mining» more  KDD 1995»
13 years 8 months ago
Robust Decision Trees: Removing Outliers from Databases
Finding and removingoutliers is an important problem in data mining. Errors in large databases can be extremely common,so an important property of a data mining algorithm is robus...
George H. John
FLAIRS
2004
13 years 6 months ago
Inducing Fuzzy Decision Trees in Non-Deterministic Domains using CHAID
Most decision tree induction methods used for extracting knowledge in classification problems are unable to deal with uncertainties embedded within the data, associated with human...
Jay Fowdar, Zuhair Bandar, Keeley A. Crockett
CSDA
2008
126views more  CSDA 2008»
13 years 5 months ago
A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
Christelle Reynès, Robert Sabatier, Nicolas...