Variables Interaction for Mining Negative and Positive Quantitative Association Rules

I
ICTAI
2006
18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06)
Abstract - Variables Interaction for Mining Negative and Positive Quantitative Association Rules

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18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06)

Arlington, Virginia

November 13-November 15

ISBN: 0-7695-2728-0

	ASCII Text	x
	Leila Nemmiche Alachaher, Sylvie Guillaume, "Variables Interaction for Mining Negative and Positive Quantitative Association Rules," Tools with Artificial Intelligence, IEEE International Conference on, pp. 82-85, 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), 2006.

	BibTex	x
	@article{ 10.1109/ICTAI.2006.119, author = {Leila Nemmiche Alachaher and Sylvie Guillaume}, title = {Variables Interaction for Mining Negative and Positive Quantitative Association Rules}, journal ={Tools with Artificial Intelligence, IEEE International Conference on}, volume = {0}, year = {2006}, issn = {1082-3409}, pages = {82-85}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2006.119}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Tools with Artificial Intelligence, IEEE International Conference on TI - Variables Interaction for Mining Negative and Positive Quantitative Association Rules SN - 1082-3409 SP82 EP85 A1 - Leila Nemmiche Alachaher, A1 - Sylvie Guillaume, PY - 2006 KW - null VL - 0 JA - Tools with Artificial Intelligence, IEEE International Conference on ER -

Leila Nemmiche Alachaher, LIMOS, UBP UMR 6158 CNRS, Complexe des C?zeaux, France

Sylvie Guillaume, LIMOS, UBP UMR 6158 CNRS, Complexe des C?zeaux, France

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2006.119

This paper introduces an efficient method for mining both positive and negative quantitative association rules using a tabular pruning and regrouping strategy coordinated with an interestingness measure. This measure evaluates the impact of a new variable on the concerned association.

Citation:

Leila Nemmiche Alachaher, Sylvie Guillaume, "Variables Interaction for Mining Negative and Positive Quantitative Association Rules," ictai, pp.82-85, 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), 2006

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