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Fifth IEEE International Conference on Data Mining (ICDM'05)
CoLe: A Cooperative Data Mining Approach and Its Application to Early Diabetes Detection
Houston, Texas
November 27-November 30
ISBN: 0-7695-2278-5
ASCII Text
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Jie Gao, Jörg Denzinger, Robert C. James, "CoLe: A Cooperative Data Mining Approach and Its Application to Early Diabetes Detection," Data Mining, IEEE International Conference on, pp. 617-620, Fifth IEEE International Conference on Data Mining (ICDM'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICDM.2005.44,
author = {Jie Gao and Jörg Denzinger and Robert C. James},
title = {CoLe: A Cooperative Data Mining Approach and Its Application to Early Diabetes Detection},
journal ={Data Mining, IEEE International Conference on},
volume = {0},
year = {2005},
issn = {1550-4786},
pages = {617-620},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2005.44},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Data Mining, IEEE International Conference on
TI - CoLe: A Cooperative Data Mining Approach and Its Application to Early Diabetes Detection
SN - 1550-4786
SP617
EP620
A1 - Jie Gao,
A1 - Jörg Denzinger,
A1 - Robert C. James,
PY - 2005
KW - null
VL - 0
JA - Data Mining, IEEE International Conference on
ER -
 
Jie Gao, University of Calgary
Jörg Denzinger, University of Calgary
Robert C. James, Aechidna Health Informatics
We present CoLe, a cooperative data mining approach for discovering hybrid knowledge. It employs multiple different data mining algorithms, and combines results from them to enhance the mined knowledge. For our medical application area, we analyse several focusing strategies that allowed us to gain medically significant results.
Citation:
Jie Gao, Jörg Denzinger, Robert C. James, "CoLe: A Cooperative Data Mining Approach and Its Application to Early Diabetes Detection," icdm, pp.617-620, Fifth IEEE International Conference on Data Mining (ICDM'05), 2005
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