An in-depth look at Fiat's historical and prestigious involvement in all forms of motorsport. The achievements of the cars and drivers are described in detail, along with many original photographs, sourced from the official Fiat archives. In the early days, before the First World War, Fiat was a major contender in Grand Prix racing, and employed many of the leading drivers of the era. Although it withdrew from Grand Prix racing in 1927, Fiat cars were still to be seen participating in high-profile races, such as the Mille Miglia. In these events most Fiat models were sports editions of the highly successful 'Balilla' range. In 1952 the introduction of the sensational 8V coupe resulted in many racing successes in private owners' hands, while the late 1950s saw the introduction of 'Formula Junior' class of racing and Fiat-engined cars were very successful in the early years. In the 1970s, Abarth, then owned by Fiat, successfully ran the rally team, which resulted in three World Championships. Speed record attempts over the years are also detailed in this fascinating history of Fiat's sporting achievements.

This book constitutes the refereed proceedings of the 6th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2021, held during September 13-17, 2021. The workshop was planned to take place in Bilbao, Spain, but was held virtually due to the COVID-19 pandemic. The 12 full papers presented in this book were carefully reviewed and selected from 21 submissions. They focus on the following topics: Temporal Data Clustering; Classification of Univariate and Multivariate Time Series; Multivariate Time Series Co-clustering; Efficient Event Detection; Modeling Temporal Dependencies; Advanced Forecasting and Prediction Models; Cluster-based Forecasting; Explanation Methods for Time Series Classification; Multimodal Meta-Learning for Time Series Regression; and Multivariate Time Series Anomaly Detection.

This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Ghent, Belgium, in September 2020. The 15 full papers presented in this book were carefully reviewed and selected from 29 submissions. The selected papers are devoted to topics such as Temporal Data Clustering; Classification of Univariate and Multivariate Time Series; Early Classification of Temporal Data; Deep Learning and Learning Representations for Temporal Data; Modeling Temporal Dependencies; Advanced Forecasting and Prediction Models; Space-Temporal Statistical Analysis; Functional Data Analysis Methods; Temporal Data Streams; Interpretable Time-Series Analysis Methods; Dimensionality Reduction, Sparsity, Algorithmic Complexity and Big Data Challenge; and Bio-Informatics, Medical, Energy Consumption, Temporal Data.

This book constitutes the refereed proceedings of the 7th ECML PKDD Workshop, AALTD 2022, held in Grenoble, France, during September 19-23, 2022. The 12 full papers included in this book were carefully reviewed and selected from 21 submissions. They were organized in topical sections as follows: Oral presentation and poster presentation.