Soft Methods for Data Science

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ferraro, Maria Brigida (Editor), Giordani, Paolo (Editor), Vantaggi, Barbara (Editor), Gagolewski, Marek (Editor), Ángeles Gil, María (Editor), Grzegorzewski, Przemysław (Editor), Hryniewicz, Olgierd (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Advances in Intelligent Systems and Computing, 456
• Subjects: Engineering.; Mathematical statistics.; Artificial intelligence.; Probabilities.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Probability Theory and Stochastic Processes.; Probability and Statistics in Computer 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...