Association rules (AR) represent one of the most powerful and largely used approaches to detect the presence of regularities and paths in large databases. Rules express the relations (in terms of co-occurrence) between pairs of items and are defined in two measures: support and confidence. Most...

Purpose: This paper aims to investigate the commonalities and asymmetries between consumer responses to different types of natural designs across countries. Design/methodology/approach: Data were gathered through a survey in three European countries ranking differently in what concerns...

One of the many areas in which correspondence analysis (CA) is an effective method, concerns seriation problems.For example, CA is a well-known technique for the seriation of archaeological assemblages. A problem with the CA seriation solution, however, is that only a relative ordering of the...

<title>Abstract</title> The topic of harmonizing port state control (PSC) inspections has been on the agenda of the flag state sub‐committee meeting at the International Maritime Organization in recent years. This article is based on a unique combined dataset of 183 819 PSC inspections and uses...

Binary data represent a very special condition where both measures of distance and co-occurrence can be adopted. Euclidean distance-based non-hierarchical methods, like the k-means algorithm, or one of its versions, can be profitably used. When the number of available attributes increases the...

I recently proposed a method of bosonization based on the use of coherent states of fermion composites, whose validity was restricted to smooth structure functions. In the present paper I remove this limitation and derive results which hold for arbitrary interactions and structure functions. The...