The use of end-to-end data mining methodologies such as CRISP-DM, KDD process, and
SEMMA has grown substantially over the past decade. However, little is known as to how …

Up to now, many data mining and knowledge discovery methodologies and process models
have been developed, with varying degrees of success. In this paper, we describe the most …

The number of applied in the data mining and knowledge discovery (DM & KD) projects has
increased enormously over the past few years (Jaffarian et al., 2008)(Kdnuggets. com …

The number, variety and complexity of projects involving data mining or knowledge
discovery in databases activities have increased just lately at such a pace that aspects …

Both the number and complexity of Data Mining projects has increased in late years.
Unfortunately, nowadays there isn'ta formal process model for this kind of projects, or …

In this day and age, galvanised coated steel is an essential product in several key
manufacturing sectors because of its anticorrosive properties. The increase in demand has …

En las empresas de hoy no es suficiente tener la mejor maquinaria, el personal mejor
calificado o la tecnología actualizada si ello no apoya para que las empresas tengan una …

This paper describes the process for optimising the annealing cycle on a hot dip galvanising
line based on a combination of the techniques of artificial intelligence and genetic …

Developing better prediction models is crucial for the steelmaking industry to improve the
continuous hot dip galvanising line (HDGL). This paper presents a genetic based …

An optimization based on genetic algorithms for both feature selection and model tuning is
presented to improve the prediction of set points in industrial lines. The objective is the …