Obtaining Best Parameter Values for Accurate Classification

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http://doi.ieeecomputersociety.org/10.1109/ICDM.2005.105

Fifth IEEE International Conference o ...

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	ASCII Text	x
	Frans Coenen, Paul Leng, "Obtaining Best Parameter Values for Accurate Classification," Data Mining, IEEE International Conference on, pp. 597-600, Fifth IEEE International Conference on Data Mining (ICDM'05), 2005.

	BibTex	x
	@article{ 10.1109/ICDM.2005.105, author = {Frans Coenen and Paul Leng}, title = {Obtaining Best Parameter Values for Accurate Classification}, journal ={Data Mining, IEEE International Conference on}, volume = {0}, year = {2005}, issn = {1550-4786}, pages = {597-600}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2005.105}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining, IEEE International Conference on TI - Obtaining Best Parameter Values for Accurate Classification SN - 1550-4786 SP597 EP600 A1 - Frans Coenen, A1 - Paul Leng, PY - 2005 KW - null VL - 0 JA - Data Mining, IEEE International Conference on ER -

Frans Coenen, University of Liverpool

Paul Leng, University of Liverpool

In this paper we examine the effect that the choice of support and confidence thresholds has on the accuracy of classifiers obtained by Classification Association Rule Mining. We show that accuracy can almost always be improved by a suitable choice of threshold values, and we describe a method for finding the best values. We present results that demonstrate this approach can obtain higher accuracy without the need for coverage analysis of the training data. Keywords: Classification, Association Rule Mining.

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Frans Coenen, Paul Leng, "Obtaining Best Parameter Values for Accurate Classification," icdm, pp.597-600, Fifth IEEE International Conference on Data Mining (ICDM'05), 2005

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