CoLe: A Cooperative Data Mining Approach and Its Application to Early Diabetes Detection

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http://doi.ieeecomputersociety.org/10.1109/ICDM.2005.44

Fifth IEEE International Conference o ...

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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	x
	@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	x
	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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