Efficient classification and analysis of ischemic heart disease using proximal support vector machines based decision trees

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Volumn 1, Issue , 2003, Pages 214-217

  Soman, K P ^a   Diwakar, M Shyam ^a   Madhavdas, P ^a  

^a AMRITA UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DAIRY PRODUCTS; DATA MINING; DECISION MAKING; DECISION THEORY; NUMERICAL ANALYSIS; OPTIMIZATION; OXYGEN; REGRESSION ANALYSIS; TREES (MATHEMATICS);

DECISION TREES; ISCHEMIC HEART DISEASE (IHD); PHOSPHORYLATION; PROXIMAL SUPPORT VECTOR MACHINES;

DISEASES;

EID: 2342603459     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Ed. by Horia-Nicolai Teodorescu et al, Fuzzy and Neuro-fuzzy systems in medicine, CRC press, 1999. ISBN:0-8493-9806-1.
2. Osuna E., Freund R., and Girosi F., Support vector machines: training and applications. AI Memo 1602, MIT, May 1997.
3. Burbidge R., Buxton B., An Introduction to Support Vector Machines for Data Mining, IEEE Conference proceedings.
4. Fung G., Mangasarian O., Proximal Support Vector Machine Classifiers, proceedings, KDD 2001.
5. Mangasarian O., Data Mining with support vector machines, Data mining institute report 01-05, May 2001,University of Wisconsin, Madison.