Evolutionary algorithms are adaptive methods based on natural evolution that may be used
for search and optimization. As data reduction in knowledge discovery in databases (KDDs) …

INTRODUCTION: The TGFB1 gene which encodes transforming growth factor beta 1, is a
strong candidate for susceptibility to osteoporosis and several studies have reported …

The generation of predictive models is a frequent task in data mining with the objective of
generating highly precise and interpretable models. The data reduction is an interesting …

In this paper, we propose a replacement strategy for steady-state genetic algorithms that
considers two features of the candidate chromosome to be included into the population: a …

In this paper, we present a new approach for training set selection in large size data sets.
The algorithm consists on the combination of stratification and evolutionary algorithms. The …

Prototype selection problem consists of reducing the size of databases by removing
samples that are considered noisy or not influential on nearest neighbour classification tasks. …

The aims of this study were to determine common international risk factors for hip fracture in
women aged 50 years or more. We studied women aged 50 years or more who sustained a …

Calcaneal fractures result, in many cases, in, subtalar joint stiffness and severe disability.
Diagnosis is usually made by X-ray, but more accurately by a computed tomography (CT) scan. …

Currently, knowledge discovery in databases is an essential first step when identifying valid,
novel and useful patterns for decision making. There are many real-world scenarios, such …

Evolutionary algorithms has been recently used for prototype selection showing good results.
An important problem that we can find is the scaling up problem that appears evaluating …