ENGLISH

Soft Methods for Data Science

By María Ángeles Gil , Przemysław Grzegorzewski , Olgierd Hryniewicz (eds.) , Marek Gagolewski , Maria Brigida Ferraro , Paolo Giordani , Barbara Vantaggi

Book information

Publisher
Springer International Publishing
Year
2017
ISBN
978-3-319-42972-4, 978-3-319-42971-7
DOI
10.1007/978-3-319-42972-4
Language
english
Format
PDF
Filesize
11 MB (12053370 bytes)
Series
Advances in Intelligent Systems and Computing 456
Edition
1
Pages
XVI, 535\538
Time added
2016-12-08 02:00:00
Computational Intelligence;Artificial Intelligence

Description

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.

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