Logical Analysis of Data (LAD) is a well-known classification technique that generates
interpretable patterns with competitive accuracy. The challenge encountered in applying …

Abstract Logical Analysis of Data (LAD) is a classification algorithm known for its high
accuracy and interpretable results, but it has relatively long computational time, which …

Logical analysis of data (LAD), an approach to data analysis based on Boolean functions,
combinatorics, and optimization, can be considered one of the methods of interpretable …

In this paper, we address the binary classification problem, in which one is given a set of
observations, characterized by a number of (binary and non-binary) attributes and wants to …

In this paper, we present a new integrated optimization model and a greedy algorithm for
generating patterns, directly derived from original data instead of binarized data, in logical …

Logical analysis of data (LAD) is a rule-based data mining algorithm using combinatorial
optimization and boolean logic for binary classification. The goal is to construct a …

Recently, logical analysis of data (LAD) using a classifier based on a linear combination of
patterns has been introduced, providing high classification accuracy and pattern-based …

The logical analysis of data (LAD) is one of the most promising data mining and machine
learning techniques developed to date for extracting knowledge from data. The LAD is …

With the increasing prevalence of Machine Learning in everyday life, a growing number of
people will be provided with Machine-Learned assessments on a regular basis. We believe …

The logical analysis of data (LAD) is one of the most promising data mining methods
developed to date for extracting knowledge from data. The key feature of the LAD is the …