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 …

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 …

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 …

This paper deals with the application of Logical Analysis of Data (LAD) to machinery-related
occupational accidents, using belt-conveyor-related accidents as an example. LAD is a …

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

This paper clarifies the difference between intrinsically 0–1 data and binarized numerical
data for Boolean logical patterns and strengthens mathematical results and methods from …

The study is dictated by the need to make reasonable decisions in the classification of
observations, for example, in the problems of medical prediction and diagnostics. Today, as …

Logical analysis of data (LAD) discovers useful knowledge from a set of data in the form of a
Boolean pattern for classifying future data. Generating a pattern has been shown to be …

The study is dictated by the need to interpret and justify the solutions of classification
problems. In this context, a method of logical analysis of data is considered along with its …