Soft Methods for Data Science
Maria Brigida Ferraro , Paolo Giordani , Barbara Vantaggi , Marek Gagolewski , María Ángeles Gil , Przemysław Grzegorzewski , Olgierd Hryniewicz
AbstractThis 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.
|Publisher||Springer International Publishing, MNiSW |
|Publishing place (Publisher address)||Cham|
|Book series /Journal (in case of Journal special issue)||Advances in Intelligent Systems and Computing, ISSN 2194-5357, [2194-5365 (Online)], (0 pkt)|
|Publication size in sheets||26.75|
|Conference||8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016), 12-09-2016 - 14-09-2016, Rome, Włochy|
|Keywords in English||Computational Intelligence, Intelligent Data Analysis, Soft Computing, Statistics|
|Score||= 20.0, 10-01-2020, MonograhOrBookMainLanguagesEditor|
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