In a majority–minority classification problem, class imbalance in the dataset (s) can
dramatically skew the performance of classifiers, introducing a prediction bias for the …

The massive growth in the scale of data has been observed in recent years being a key
factor of the Big Data scenario. Big Data can be defined as high volume, velocity and variety …

We live in a world were data are generated from a myriad of sources, and it is really cheap to
collect and storage such data. However, the real benefit is not related to the data itself, but …

Big Data applications are emerging during the last years, and researchers from many
disciplines are aware of the high advantages related to the knowledge extraction from this …

Artificial intelligence helps in tracking and preventing diseases. For instance, machine
learning algorithms can analyze big genomic data and predict genes, which helps …

Data has become much widely available in recent years. Since the past years, Learning
classifiers from unbalanced data is a crucial issue that comes up frequently in classification …

En los últimos años, el crecimiento masivo en la escala de los datos está siendo un factor
clave en el actual escenario de procesamiento de datos. La eficacia de los algoritmos de …

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 …

Advancement of unparalleled data in bioinformatics over the years is a major concern for
storage and management. Such massive data must be handled efficiently to disseminate …

Alignment-free (AF) methodologies have increased in popularity in the last decades as
alternative tools to alignment-based (AB) algorithms for performing comparative sequence …