Barbara Vantaggi

Maria Brigida Ferraro

Paolo Giordani

Marek Gagolewski

María Ángeles Gil

Przemysław Grzegorzewski

Olgierd Hryniewicz

This proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy). The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It shows how Data science employs various programming techniques and methods of data wrangling, data visualization, machine learning, probability and statistics. The soft methods proposed in this volume represent a collection of tools in these fields that can also be useful for data science.

Soft Methods for Data Science

Davide Ciucci

Gabriella Pasi

This book constitutes the refereed proceedings of the 12th International Conference on Scalable Uncertainty Management, SUM 2018, which was held in Milan, Italy, in October 2018. The 23 full, 6 short papers and 2 tutorials presented in this volume were carefully reviewed and selected from 37 submissions. The conference is dedicated to the management of large amounts of complex, uncertain, incomplete, or inconsistent information. New approaches have been developed on imprecise probabilities, fuzzy set theory, rough set theory, ordinal uncertainty representations, or even purely qualitative models.

12th International Conference, SUM 2018, Milan, Italy, October 3-5, 2018, Proceedings

Scalable Uncertainty Management

Barbara Vantaggi

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