This book constitutes the thoroughly refereed proceedings of the 16th Italian Research Conference on Digital Libraries, IRCDL 2020, held in Bari, Italy, in January 2020.

This book constitutes the refereed proceedings of the 22ndInternational Symposium on Methodologies for Intelligent Systems, ISMIS 2015,held in Lyon, France, in October 2015.

The 31 revised full papers presented together with 18short papers were carefully reviewed and selected from 67 submissions. Thepapers are organized in topical sections on data mining methods; databases,information retrieval, recommender systems; machine learning; knowledgerepresentation, semantic web; emotion recognition, music information retrieval;network analysis, multi-agent systems; applications; planning, classification;and textual data analysis and mining.

The 15 papers presented were carefully selected from 23 submissions and cover topics such as formal methods, long-term preservation, metadata creation, management and curation, multimedia, ontology and linked data. The papers deal with numerous multidisciplinary aspects ranging from computer science to humanities in the broader sense, including research areas such as archival and library information sciences; information management systems; semantic technologies; information retrieval; new knowledge environments.

This book presents high-quality original contributions on the development of automatic traffic analysis systems that are able to not only anticipate traffic scenarios, but also understand the behavior of road users (vehicles, bikes, trucks, etc.) in order to provide better traffic management, prevent accidents and, potentially, identify criminal behaviors. Topics also include traffic surveillance and vehicle accident analysis using formal concept analysis, convolutional and recurrent neural networks, unsupervised learning and process mining. The content is based on papers presented at the 1st Italian Conference for the Traffic Police (TRAP), which was held in Rome in October 2017. This conference represents a targeted response to the challenges facing the police in connection with managing massive traffic data, finding patterns from historical datasets, and analyzing complex traffic phenomena in order to anticipate potential criminal behaviors. The book will appeal to researchers, practitioners and decision makers interested in traffic monitoring and analysis, traffic modeling and simulation, mobility and social data mining, as well as members of the police.

This book constitutes the thoroughly refereed proceedings of the 16th Italian Research Conference on Digital Libraries, IRCDL 2020, held in Bari, Italy, in January 2020.

This book constitutes the refereed proceedings of the 22ndInternational Symposium on Methodologies for Intelligent Systems, ISMIS 2015,held in Lyon, France, in October 2015.

The 31 revised full papers presented together with 18short papers were carefully reviewed and selected from 67 submissions. Thepapers are organized in topical sections on data mining methods; databases,information retrieval, recommender systems; machine learning; knowledgerepresentation, semantic web; emotion recognition, music information retrieval;network analysis, multi-agent systems; applications; planning, classification;and textual data analysis and mining.

The 15 papers presented were carefully selected from 23 submissions and cover topics such as formal methods, long-term preservation, metadata creation, management and curation, multimedia, ontology and linked data. The papers deal with numerous multidisciplinary aspects ranging from computer science to humanities in the broader sense, including research areas such as archival and library information sciences; information management systems; semantic technologies; information retrieval; new knowledge environments.

This book presents high-quality original contributions on the development of automatic traffic analysis systems that are able to not only anticipate traffic scenarios, but also understand the behavior of road users (vehicles, bikes, trucks, etc.) in order to provide better traffic management, prevent accidents and, potentially, identify criminal behaviors. Topics also include traffic surveillance and vehicle accident analysis using formal concept analysis, convolutional and recurrent neural networks, unsupervised learning and process mining. The content is based on papers presented at the 1st Italian Conference for the Traffic Police (TRAP), which was held in Rome in October 2017. This conference represents a targeted response to the challenges facing the police in connection with managing massive traffic data, finding patterns from historical datasets, and analyzing complex traffic phenomena in order to anticipate potential criminal behaviors. The book will appeal to researchers, practitioners and decision makers interested in traffic monitoring and analysis, traffic modeling and simulation, mobility and social data mining, as well as members of the police.