Intelligent Methods and Big Data in Industrial Applications

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bembenik, Robert (Editor, http://id.loc.gov/vocabulary/relators/edt), Skonieczny, Łukasz (Editor, http://id.loc.gov/vocabulary/relators/edt), Protaziuk, Grzegorz (Editor, http://id.loc.gov/vocabulary/relators/edt), Kryszkiewicz, Marzena (Editor, http://id.loc.gov/vocabulary/relators/edt), Rybinski, Henryk (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Studies in Big Data, 40
• Subjects: Computational intelligence.; Big data.; Artificial intelligence.; Data mining.; Computational Intelligence.; Big Data/Analytics.; Artificial Intelligence.; Big Data.; Data Mining and Knowledge Discovery.

The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry to overcome...