Machine Learning, Optimization, and Big Data : Third International Conference, MOD 2017, Volterra, Italy, September 14–17, 2017, Revised Selected Papers / edited by Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Springer eBook Collection Computer Science | Lecture notes in computer science ; 10710Publisher: Cham : Springer, 2018Description: Online-Ressource (XXI, 600 p. 154 illus, online resource)ISBN:

9783319729268

Subject(s):

Additional physical formats: 9783319729251 | Erscheint auch als: 978-3-319-72925-1 Druck-Ausgabe | Printed edition: 9783319729251 DDC classification:

005.7
005.3 23

LOC classification:

QA76.76.A65

DOI: DOI: 10.1007/978-3-319-72926-8Online resources:

Summary: This book constitutes the post-conference proceedings of the Third International Workshop on Machine Learning, Optimization, and Big Data, MOD 2017, held in Volterra, Italy, in September 2017. The 50 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applicationsPPN: PPN: 1658619307Package identifier: Produktsigel: ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SEB

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