The vast majority of the literature evaluates the performance of classification models using
only the criterion of predictive accuracy. This paper reviews the case for considering also the …

Genetic improvement (GI) uses automated search to find improved versions of existing
software. We present a comprehensive survey of this nascent field of research with a focus …

Several challenges are associated with e‐learning systems, the most significant of which is
the lack of student motivation in various course activities and for various course materials. In …

Evolutionary fuzzy systems are one of the greatest advances within the area of
computational intelligence. They consist of evolutionary algorithms applied to the design of …

Data Mining (DM) is the process for automatic discovery of high level knowledge by
obtaining information from real world, large and complex data sets [26], and is the core step …

Building a student performance prediction model that is both practical and understandable
for users is a challenging task fraught with confounding factors to collect and measure. Most …

This is the second edition of our 2003 book. It is primarily a book for lecturers and graduate
and undergraduate students. To this group the book offers a thorough introduction to …

A quimiometria surgiu da necessidade de extrair informações químicas da profusão de
dados resultantes da moderna instrumentação. Neste livro são abordados os principais …

The study of biological systems in a holistic manner (systems biology) is increasingly being
viewed as a necessity to provide qualitative and quantitative descriptions of the emergent …

This paper introduces a software tool named KEEL which is a software tool to assess
evolutionary algorithms for Data Mining problems of various kinds including as regression …