Data mining algorithms to find association rules are an important tool to extract knowledge from databases. However, these algorithms produce an enormous amount of rules, many of which could be redundant or irrelevant for ...

We have developed a novel method to assist in seismic interpretation. The algorithm learns data-driven edge detectors for structure enhancement when applied to time slices of 3D poststack seismic data. We obtain the operators ...

In the past decades recommender systems have become a powerful tool to improve personalization on the Web. Yet, many popular websites lack such functionality, its implementation usually requires certain technical skills, ...

Recommender systems aim at predicting the preference of a user towards a given item such as a movie, a song, or a news story. Effective recommendations can be produced through collaborative filtering, in which case the ...

The main goal of this paper is to propose a proper methodology for automatic management of a photovoltaic distributed generation system. Such methodology is based on a group of operational premises, as well as energy price ...