The paper presents a review of the basic concepts of the Logical Analysis of Data (LAD),
along with a series of discrete optimization models associated to the implementation of …

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 …

During a pandemic, medical specialists have substantial challenges in discovering and
validating new disease risk factors and designing effective treatment strategies …

Selecting relevant and discriminative genes for sample classification is a common and
critical task in gene expression analysis (eg disease diagnostic). It is desirable that gene …

We report results from the analysis of complete mitochondrial DNA (mtDNA) sequences from
112 Japanese semi-supercentenarians (aged above 105 years) combined with previously …

Maritime logistics, which accounts for around 80% of international trade around the world,
has been a driving force for economic growth. Increases in maritime traffic, however, lead to …

Motivation: Survival analysis involves predicting the time to event for patients in a dataset,
based on a set of recorded attributes. In this study we focus on right-censored survival …

Logical analysis of data (LAD) is a special data analysis methodology which combines ideas
and concepts from optimization, combinatorics, and Boolean functions. The central concept …

A number of real-world problems of automatic grouping of objects or clustering require a
reasonable solution and the possibility of interpreting the result. More specific is the problem …

Introduction The potential of applying data analysis tools to microarray data for diagnosis
and prognosis is illustrated on the recent breast cancer dataset of van't Veer and coworkers …