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Recent advances in the theory and practice of logical analysis of data
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Lejeune, Miguel, Lozin, Vadim V., Lozina, Irina, Ragab, Ahmed and Yacout, Soumaya (2019) Recent advances in the theory and practice of logical analysis of data. European Journal of Operational Research, 275 (1). pp. 1-15. doi:10.1016/j.ejor.2018.06.011 ISSN 0377-2217.
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Official URL: https://doi.org/10.1016/j.ejor.2018.06.011
Abstract
Logical Analysis of Data (LAD) is a data analysis methodology introduced by Peter L. Hammer in 1986. LAD distinguishes itself from other classification and machine learning methods by the fact that it analyzes a significant subset of combinations of variables to describe the positive or negative nature of an observation and uses combinatorial techniques to extract models defined in terms of patterns. In recent years, the methodology has tremendously advanced through numerous theoretical developments and practical applications. In the present paper, we review the methodology and its recent advances, describe novel applications in engineering, finance, health care, and algorithmic techniques for some stochastic optimization problems, and provide a comparative description of LAD with well-known classification methods.
Item Type: | Journal Article | ||||||||
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Subjects: | Q Science > Q Science (General) | ||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Mathematics | ||||||||
Library of Congress Subject Headings (LCSH): | Machine learning, Combinatorial analysis, Data mining | ||||||||
Journal or Publication Title: | European Journal of Operational Research | ||||||||
Publisher: | Elsevier Science BV | ||||||||
ISSN: | 0377-2217 | ||||||||
Official Date: | 16 May 2019 | ||||||||
Dates: |
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Volume: | 275 | ||||||||
Number: | 1 | ||||||||
Page Range: | pp. 1-15 | ||||||||
DOI: | 10.1016/j.ejor.2018.06.011 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Reuse Statement (publisher, data, author rights): | © 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 11 June 2018 | ||||||||
Date of first compliant Open Access: | 22 October 2018 | ||||||||
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