Abstract

At the end of the first decade of the 21st century, the rapid growth in the MOOC offering brought about a new educational landscape, posing new challenges to teaching and learning, mainly due to massive participation, ubiquity and free enrollment. These courses embody a confluence [...]

Abstract

Air pollutants affect both human health and the environment. For this reason, environmental managers and urban planners focus their efforts in monitoring air pollution. In this context, complete information is required to support the decision-making process to improve the quality [...]

Abstract

The detection of outliers in the field of data mining (DM) and the process of knowledge discovery in databases (KDD) is of great interest in areas that require support systems for decision making. A straightforward application can be found in the financial area, where DM can potentially [...]

Abstract

We offer some thoughts on the need for the field of open data to evolve from the production to exploitation stage. We detail the process of generating a simple display: knowledge of sources and data extraction, local analysis or in the cloud, and using the tools needed to present [...]

Abstract

Data mining is the process of analyzing large data sets to discover behaviour patterns and predict future actions. Data mining has many useful applications, but also has an exploratory approach that makes questionable the validity of certain deductions. Using personal information [...]

Abstract

Overview and trends of different aspects and applications of data mining on the Internet, in relation to Web 2.0, spam, analysis of searches, social networks and privacy.

Abstract

Big data has become an enormous asset for on-demand content distribution services, helping information supply and decision- making, regarding both the content of the database and suscribers to the database. In this article we describe and define big data and data management in a media [...]

Abstract

This paper conceptualizes the term big data and describes its relevance in social research and journalistic practices. We explain large-scale text analysis techniques such as automated content analysis, data mining, machine learning, topic modeling, and sentiment analysis, which may [...]

Abstract

This paper addresses an aspect not yet investigated in Spanish political communication: the use of data mining systems and machine learning in the construction of political discourse. This text details the potential of Calisto software, which was designed and implemented by the Popular [...]

Abstract

A tour is provided of the features, possibilities, scientific, technical and technologies that are collected under the interdisciplinary umbrella of big data and web analytics from the point of view of its application in practice. A reflection is offered about the challenges, risks [...]