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

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초록

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.

키워드

Boolean logicLogical analysis of dataPattern generationMultilinear programming0-1 linearizationLOGICAL ANALYSISCLIQUESMODELS
제목
0-1 multilinear programming as a unifying theory for LAD pattern generation
저자
Yan, KedongRyoo, Hong Seo
DOI
10.1016/j.dam.2016.08.007
발행일
2017-02-19
유형
Article
저널명
Discrete Applied Mathematics
218
페이지
21 ~ 39