Trees Weighting Random Forest method for classifying high-dimensional noisy data

Proceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010

Volumn , Issue , 2010, Pages 160-163

  Li, Hong Bo ^a   Wang, Wei ^a   Ding, Hong Wei ^a   Dong, Jin ^a  

^a IBM CHINA RESEARCH LAB   (China)

Author keywords

Classification; Data mining; Ensemble learning; Random forest

Indexed keywords

CLASSIFICATION; CLASSIFICATION ABILITY; CLASSIFICATION ACCURACY; DATA SETS; ENSEMBLE LEARNING; GENERALIZATION ABILITY; HIGH DIMENSIONS; HIGH-DIMENSIONAL; IN-BUILDINGS; NEW APPROACHES; NOISY DATA; RANDOM FOREST METHODS; RANDOM FORESTS; RANDOM INPUT; RANDOM SUBSETS; SPLITTING NODES; TRAINING DATA;

DATA MINING; DECISION TREES; ELECTRONIC COMMERCE;

CLASSIFICATION (OF INFORMATION);

EID: 79951794668     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEBE.2010.99     Document Type: Conference Paper

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