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Journal of Theoretical and Applied Electronic Commerce Research is published by MDPI from Volume 16 Issue 3 (2021). Previous articles were published by another publisher in Open Access under a CC-BY 3.0 licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Faculty of Engineering of the Universidad de Talca.
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Editorial

Editorial: Data Mining in Electronic Commerce – Support vs. Confidence

Universidad de Talca, Faculty of Engineering, Curicó, Chile
J. Theor. Appl. Electron. Commer. Res. 2014, 9(1), I-VII; https://doi.org/10.4067/S0718-18762014000100001
Submission received: 1 January 2014 / Published: 1 January 2014

Abstract

In the year 2001, one of the authors of this editorial wrote an article about support versus confidence in the data mining technique, association rules. […]

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MDPI and ACS Style

Astudillo, C.; Bardeen, M.; Cerpa, N. Editorial: Data Mining in Electronic Commerce – Support vs. Confidence. J. Theor. Appl. Electron. Commer. Res. 2014, 9, I-VII. https://doi.org/10.4067/S0718-18762014000100001

AMA Style

Astudillo C, Bardeen M, Cerpa N. Editorial: Data Mining in Electronic Commerce – Support vs. Confidence. Journal of Theoretical and Applied Electronic Commerce Research. 2014; 9(1):I-VII. https://doi.org/10.4067/S0718-18762014000100001

Chicago/Turabian Style

Astudillo, César, Matthew Bardeen, and Narciso Cerpa. 2014. "Editorial: Data Mining in Electronic Commerce – Support vs. Confidence" Journal of Theoretical and Applied Electronic Commerce Research 9, no. 1: I-VII. https://doi.org/10.4067/S0718-18762014000100001

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