Abstract Initially introduced by Peter Hammer, logical analysis of data (LAD) is a
methodology that aims at computing a logical justification for dividing a group of data into …

The logical analysis of data (LAD) is a methodology aimed at extracting or discovering
knowledge from data in logical form. The first paper in this area was published as Crama …

Based on the concept of patterns, fundamental for the Logical Analysis of Data (LAD), we
define a numerical score associated to every observation in a dataset, and show that its use …

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 …

Abstract The Logical Analysis of Data (LAD) is a combinatorics and optimization-based
methodology for extracting information from a dataset. Given a set of n-vectors, the central …

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 …

This work deals with the problem of fashioning a fast and accurate data classification,
learning it from a possibly small set of information that might be already categorized. The …

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 …

Abstract Logical Analysis of Data (LAD) is a machine learning/data mining methodology that
combines ideas from areas such as Boolean functions, optimization and logic. In this thesis …

This paper analyzes the predictive performance of standard techniques for the 'logical
analysis of data'(LAD), within a probabilistic framework. It does so by bounding the …