Soft Methods for Data Science

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...

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Main Authors Ferraro, Maria Brigida, Giordani, Paolo, Vantaggi, Barbara, Gagolewski, Marek, Ángeles Gil, María, Grzegorzewski, Przemysław, Hryniewicz, Olgierd
Format eBook
LanguageEnglish
Published Cham Springer International Publishing AG 2016
Springer
Edition1
SeriesAdvances in Intelligent Systems and Computing
Subjects
Computer science
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Summary: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.
ISBN:331942971X
9783319429717