Subgroup discovery is a broadly applicable descriptive data mining technique for identifying
interesting subgroups according to some property of interest. This article summarizes …

Emerging pattern mining is a data mining task that aims to discover discriminative patterns,
which can describe emerging behavior with respect to a property of interest. In recent years …

This paper introduces the 3rd major release of the KEEL Software. KEEL is an open source
Java framework (GPLv3 license) that provides a number of modules to perform a wide …

This book is intended to provide a general and comprehensible overview of the field of
pattern mining with evolutionary algorithms. To do so, the book provides formal definitions …

Currently, we are witnessing a growing trend in the study and application of problems in the
framework of Big Data. This is mainly due to the great advantages which come from the …

We introduce the problem of robust subgroup discovery, ie, finding a set of interpretable
descriptions of subsets that 1) stand out with respect to one or more target attributes, 2) are …

In this investigation, we outline the applications of a data mining technique known as
Subgroup Discovery (SD) to the analysis of a sample size-limited metabolomics-based …

This paper proposes a novel algorithm for subgroup discovery task based on genetic
programming and fuzzy logic called Fuzzy Genetic Programming-based for Subgroup …

Nowadays, there is an incredible increase of data volumes around the world, with the
Internet as one of the main actors in this scenario and a growth rate above 30GB/s. The …

Supervised descriptive rule discovery represents a set of data mining techniques whose
objective is to describe data with respect to a property of interest. This concept encompasses …