The increasing availability of large amounts of data and digital footprints has given rise to
ambitious research challenges in many fields, which spans from medical research, financial …

Cities are deploying tens of thousands of sensors and actuators and developing a large
array of smart services. The smart services use sophisticated models and decision-making …

This paper presents ADMSv2, an end-to-end data-driven system that enables real-time and
historical data analytics and machine learning tasks over big, streaming, spatiotemporal …

The massive amount of tourists, citizens and traffic in big cities usually collapse busy areas
causing transport inefficiency, unbalanced economic growth, crime, and nuisance among …

Urbanization is accelerating at a high pace. This places new and critical issues on the
transition towards smarter, efficient, livable as well as economically, socially and …

The goal of the present thematic series is to showcase some of the most relevant
contributions submitted to the 'Telecom Italia Big Data Challenge 2014'and to provide a …

A smart city improves the quality of its citizens by providing access to ubiquitous services.
Intelligent Transportation Systems (ITS) have a fundamental role in transforming a …

This paper examines the current and the future performance of the traffic network around the
center of the city of Volos in Greece, after the implementation of local traffic management …

City planning is drastically changing with regard to the way urban systems can function and
be managed and developed in line with the goals of sustainable development. Marking and …

Abstract The Knowledge Discovery from Data (KDD) process is widely used across various
domains to get valuable insights from data. Many platforms, like KNIME or RapidMiner, offer …