Overview
- 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)
Included in the following conference series:
Conference proceedings info: SMPS 2016.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
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.
Similar content being viewed by others
Keywords
Table of contents (65 papers)
Other volumes
-
Soft Methods for Data Science
Editors and Affiliations
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
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications