Machine learning is an established and frequently used technique in industry and
academia, but a standard process model to improve success and efficiency of machine …

Functional link neural network (FLNN) is a class of higher order neural networks (HONs) and
have gained extensive popularity in recent years. FLNN have been successfully used in …

Dengue infection is a mosquitoborne disease caused by dengue viruses, which are carried
by several species of mosquito of the genus Aedes, principally Ae. aegypti. Dengue …

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 …

In this paper, we address the task of learning models for predicting structured outputs. We
consider both global and local predictions of structured outputs, the former based on a …

Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …

Abstract Knowledge Discovery in Databases (KDD) is an automatic, exploratory analysis
and modeling of large data repositories. KDD is the organized process of identifying valid …

Subspace clustering finds sets of objects that are homogeneous in subspaces of high-
dimensional datasets, and has been successfully applied in many domains. In recent years …

It is difficult to find the optimal sparse solution of a manifold learning based dimensionality
reduction algorithm. The lasso or the elastic net penalized manifold learning based …

Complex Event Processing (CEP) systems aim at processing large flows of events to
discover situations of interest. In CEP, the processing takes place according to user-defined …