Student success plays a vital role in educational institutions, as it is often used as a metric for
the institution's performance. Early detection of students at risk, along with preventive …

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 …

Scenario-based approaches have been receiving a huge amount of attention in research
and engineering of automated driving systems. Due to the complexity and uncertainty of the …

Text classification is the task of assigning predefined categories to natural language
documents, and it can provide conceptual views of document collections. The Naïve Bayes …

Objectives Predictive analytics in emergency care has mostly been limited to the use of
clinical decision rules (CDR s) in the form of simple heuristics and scoring systems. In the …

This paper offers a comprehensive approach to feature selection in the scope of
classification problems, explaining the foundations, real application problems and the …

Often real-world datasets are incomplete and contain some missing attribute values.
Furthermore, many data mining and machine learning techniques cannot directly handle …

Classification and regression trees, as well as their variants, are off-the-shelf methods in
Machine Learning. In this paper, we review recent contributions within the Continuous …

The knowledge discovery process is as old as Homo sapiens. Until some time ago this
process was solely based on the 'natural personal'computer provided by Mother Nature …

Background: Current knowledge of the risk for postoperative pulmonary complications
(PPCs) rests on studies that narrowly selected patients and procedures. Hypothesizing that …