Editors:
- Latest research on Data Analysis and Soft Computing
- Results of the 8th International Conference on Soft Methods in Probability and Statistics (SMPS'2016) held in Rome (Italy) by September 12-14, 2016
- Gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 456)
Conference series link(s): SMPS: International Conference on Soft Methods in Probability and Statistics
Conference proceedings info: SMPS 2016.
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Table of contents (65 papers)
About this book
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.
Editors and Affiliations
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Department of Statistical Sciences, Sapienza University of Rome, Rome, Italy
Maria Brigida Ferraro
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Department of Statistical Sciences, Sapienza University of Rome, Roma, Italy
Paolo Giordani
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Dept of Basic & Applied Sciences Engg, Sapienza University of Rome, Rome, Italy
Barbara Vantaggi
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Dept of Stoc Metds,Polish Academy of Sci, Systems Research Institute, Warsaw, Poland
Marek Gagolewski
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Dept of Statis&OR and MD, Univ de Oviedo, Oviedo, Spain
María Ángeles Gil
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Dept of Stoc Metds,Polish Aca of Science, Systems Res Inst, Warsaw, Poland
Przemysław Grzegorzewski
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Sys Res Inti, Dept of Stoch Methods, Polish Acadmy Sci in Warsaw, Warsaw, Poland
Olgierd Hryniewicz
Bibliographic Information
Book Title: Soft Methods for Data Science
Editors: Maria Brigida Ferraro, Paolo Giordani, Barbara Vantaggi, Marek Gagolewski, María Ángeles Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-42972-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Softcover ISBN: 978-3-319-42971-7Published: 30 July 2016
eBook ISBN: 978-3-319-42972-4Published: 30 August 2016
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XVI, 535
Number of Illustrations: 40 b/w illustrations, 30 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Probability Theory and Stochastic Processes, Probability and Statistics in Computer Science
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