In this thesis we present a classifier that uses the associative classification approach. We exploit the mined top-k pattern, to extract classification rules from a set of data to performs a classification based on predictive ...

Meshless methods for the numerical solution of Partial Differential Equations (PDE) are emerging techniques. Nowadays their efficiency is not comparable to Finite Element methods. Among the ample literature on meshless ...

Nei testi accademici di informatica si possono trovare molti problemi tipici dei sistemi distribuiti risolti grazie all'impiego degli agenti mobili. Tuttavia, si sa ancora poco circa il comportamento di questi sistemi ...

Modularity based algorithms for the detection of communities are the de facto standard thanks to the fact that they offer the best compromise between efficiency and result. This is because these algorithms allow analyzing ...

In the last decades, control charts have proven to be an effective tool to improve the quality of production processes. In recent years, as the Industry 4.0 revolution is progressing, also the interest in Statistical Process ...

Abstract Multi-camera multi-target tracking aims at following and assigning a consistent label for the moving targets. Tracking has relevance for practical applications; which ranges from medical to security surveillance. ...

Nowadays, datacenters consist of many servers, usually identical, and serve multiple classes of requests (jobs) coming from the users. Jobs differ by their frequency of arrival, their demand for resources, and their service ...

Nowadays, Computer Vision comprises a lot of different useful applications, ranging from real-time surveillance to series production. Since most of the mass-production systems are automatized, there is a non-zero probability ...

Deep neural networks have become an essential tool in machine learning due to their excellent performance. However, their sheer amount of parameters can lead to their infeasible application in limited hardware contexts. ...