Handling missing values in data mining - A case study of heart failure dataset

Proceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012

Volumn , Issue , 2012, Pages 2934-2938

  Poolsawad, N ^a   Moore, L ^a   Kambhampati, C ^a   Cleland, J G F ^a  

^a UNIVERSITY OF HULL   (United Kingdom)

Author keywords

classification; clinical dataset; data mining; feature selection; heart failure; missing values

Indexed keywords

COMPREHENSIVE EVALUATION; DATA SETS; DESIGN METHODOLOGY; FEATURE SELECTION AND CLASSIFICATION; HANDLING MISSING VALUES; HEART FAILURE; HIGH DIMENSIONALITY; MISSING VALUES; PREDICTION MODEL; PREDICTION PROBLEM; TIME FRAME;

CARDIOLOGY; DATA MINING; FEATURE EXTRACTION; FUZZY SYSTEMS;

CLASSIFICATION (OF INFORMATION);

EID: 84872975364     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2012.6233860     Document Type: Conference Paper

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