In the context of big data, many scientific communities aim to provide efficient approaches to
accommodate large-scale datasets. This is the case of the machine-learning community …

Ant colony optimization (ACO) has been successfully applied to classification, where the aim
is to build a model that captures the relationships between the input attributes and the target …

Big Data is a new field, with many technological challenges to be understood in order to use
it to its full potential. These challenges arise at all stages of working with Big Data, beginning …

Classification is a supervised learning task where a training set is used to construct a classifi-
cation model, which is then used to predict the class of unforeseen test instances. It is often …

In the field of data mining, classification is a supervised learning task whose purpose is to
induce models (classifiers), using a set of labeled training data instances, to predict the class …

Classification is a central problem in the fields of data mining and machine learning. Using a
training set of labelled instances, the task is to build a model (classifier) that can be used to …

The ACO-R algorithm is an Ant Colony Optimization (ACO) algorithm for real-valued
optimization, and has been applied to neural network learning. Unlike many algorithms for …

Classification is a data mining task the goal of which is to learn a model, from a training
dataset, that can predict the class of a new data instance, while clustering aims to discover …

Classification is a data mining task where the goal is to build, from labeled cases, a model
that can be used to predict the class of unlabeled cases. Ant-Tree-Miner is a decision tree …

Decision trees are popular machine learning classifiers, they accurately represent the data
in a simple manner that closely resembles human reasoning. Since inducing the optimal …