The recent Bigdata and IoTera has presented a number of applications that generate objects
in a streaming fashion. It is well-known that real-time mining of important patterns from data …

It is extremely useful to exploit labeled datasets not only to learn models and perform
predictive analytics but also to improve our understanding of a domain and its available …

It is extremely useful to exploit labeled datasets not only to learn models but also to improve
our understanding of a domain and its available targeted classes. The so-called subgroup …

The increasing interest in the use of Unmanned Aerial Vehicles (UAV) in the last years has
opened up a new complex area of research applications. Many works have been focused on …

Outlier detection consists in detecting anomalous observations from data. During the past
decade, outlier detection methods were proposed using the concept of frequent patterns …

In this work, we present a redescription mining algorithm that uses Random Forest of
Predictive Clustering Trees (RFPCTs) for generating and iteratively improving a set of …

Whereas purest strategic games such as Go and Chess seem timeless, the lifetime of a
video game is short, influenced by popular culture, trends, boredom, and technological …

BigDatalog is an extension of Datalog that achieves performance and scalability on both
Apache Spark and multicore systems to the point that its graph analytics outperform those …

Redescription mining is a field of knowledge discovery that aims to find different descriptions
of subsets of elements in the data by using two or more disjoint sets of descriptive attributes …

Video game is a very lucrative industry, unleashed by the ubiquity of gaming devices, multi-
player networks and live broadcasting platforms. Games generate large amounts of …