MiRABIT: A New Algorithm for Mining Association Rules

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	Similar Articles Articles by Sandro da Silva Camargo Articles by Paulo Martins Engel

XII International Conference of the Chilean Computer Science Society (SCCC'02)

Copiap?, Atacama, CHILE

November 06-November 08

ISBN: 0-7695-1867-2

	ASCII Text	x
	Sandro da Silva Camargo, Paulo Martins Engel, "MiRABIT: A New Algorithm for Mining Association Rules," Chilean Computer Science Society, International Conference of the, pp. 162, XII International Conference of the Chilean Computer Science Society (SCCC'02), 2002.

	BibTex	x
	@article{ 10.1109/SCCC.2002.1173189, author = {Sandro da Silva Camargo and Paulo Martins Engel}, title = {MiRABIT: A New Algorithm for Mining Association Rules}, journal ={Chilean Computer Science Society, International Conference of the}, volume = {0}, year = {2002}, issn = {1522-4902}, pages = {162}, doi = {http://doi.ieeecomputersociety.org/10.1109/SCCC.2002.1173189}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Chilean Computer Science Society, International Conference of the TI - MiRABIT: A New Algorithm for Mining Association Rules SN - 1522-4902 SP EP A1 - Sandro da Silva Camargo, A1 - Paulo Martins Engel, PY - 2002 KW - association rules KW - data mining KW - clothing store VL - 0 JA - Chilean Computer Science Society, International Conference of the ER -

Sandro da Silva Camargo, Universidade da Regi?o da Campanha

Paulo Martins Engel, Technical University of Munich and Universidade Federal do Rio Grande do Sul

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SCCC.2002.1173189

Mining a sales transaction database is a very expensive task in terms of the processing time. Depending on the business branch of the company some characteristics of the database are different. The algorithms currently used for mining association rules optimize this task for databases with supermarket characteristics. The MiRABIT algorithm that is presented in this work optimizes the mining task for databases with clothing store characteristics. Comparative tests demonstrate the efficiency of the proposed algorithm in relation to the standard algorithm Apriori in a clothing store database.

Index Terms:

association rules, data mining, clothing store

Citation:

Sandro da Silva Camargo, Paulo Martins Engel, "MiRABIT: A New Algorithm for Mining Association Rules," sccc, pp.162, XII International Conference of the Chilean Computer Science Society (SCCC'02), 2002

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