The aim of this review article is to provide a synoptic and critical evaluation of the extensive
research that has been performed in demand forecasting in the scheduled passenger …

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 …

In this study, two hybrid approaches based on seasonal decomposition and least squares
support vector regression (LSSVR) model are proposed for short-term forecasting of air …

This paper presents a novel methodology for multiple failure modes prognostics in rotating
machinery. The methodology merges a machine learning and pattern recognition approach …

Airlines and the practice of Operations Research have had a long, mutually beneficial
relationship. As part of a regulated industry until 1978, US domestic airlines had the luxury of …

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 …

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 …

Abstract Logical Analysis of Data and Formal Concept Analysis are separately developed
methodologies based on different mathematical foundations. We show that the two …

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 …

Overbooking is widely applied in the service industry to hedge against undesirable
situations, such as cancellations and no-shows. However, during the implementation of …