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 …

Abstract Cyber attacks on Industrial Control Systems (ICSs) to disrupt the associated
physical systems, like power grids and water treatment plants, are a harsh reality of the …

This paper presents a comprehensive review of the historical development, the current state
of the art, and prospects of data-driven approaches for industrial process monitoring. The …

This paper proposes a method of text mining to automatically retrieve knowledge from
patents on how to recycle and reuse a waste. The main novelties are the introduction of a set …

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 …

This paper proposes a regression model based on Logical Analysis of Data (LAD). LAD is
known as a combinatorial Boolean supervised data mining technique for pattern generation …

Experts in industrial processes rely on domain knowledge (DK) repositories to identify the
causes of abnormal situations in order to make appropriate decisions that mitigate the …

A novel methodology for visual process data analytics based on distance matrices is
proposed. A distance matrix is a two-dimensional representation that reflects intrinsic data …

Un trabajo de investigación puede ser considerado científicamente válido cuando es el
producto de un proceso convenientemente sustentado de obtención, sistematización y …

The formation of patterns is one of the main stages in logical data analysis. Fuzzy
approaches to pattern generation in logical analysis of data allow the pattern to cover not …