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0-1 multilinear programming as a unifying theory for LAD pattern generation

Authors
Yan, KedongRyoo, Hong Seo
Issue Date
19-2월-2017
Publisher
ELSEVIER
Keywords
Boolean logic; Logical analysis of data; Pattern generation; Multilinear programming; 0-1 linearization
Citation
DISCRETE APPLIED MATHEMATICS, v.218, pp.21 - 39
Indexed
SCIE
SCOPUS
Journal Title
DISCRETE APPLIED MATHEMATICS
Volume
218
Start Page
21
End Page
39
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/84424
DOI
10.1016/j.dam.2016.08.007
ISSN
0166-218X
Abstract
This paper revisits the Boolean logical requirement of a pattern and develops 0-1 multi linear programming (MP) models for (Pareto-)optimal patterns for logical analysis of data (LAD). We show that all existing and also new pattern generation models can naturally be obtained from the MP models via linearization techniques for 0-1 multilinear functions. Furthermore, 0-1 MP provides an insight for understanding how different and independently developed models for a particular type of pattern are inter-related. These show that 0-1 MP presents a unifying theory for pattern generation in LAD. (C) 2016 Elsevier B.V. All rights reserved.
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공과대학 (산업경영공학부)
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