Machine Learning, Optimization, and Big Data [electronic resource] : 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): Nicosia, Giuseppe [editor.]
| Pardalos, Panos [editor.] | Giuffrida, Giovanni [editor.] | Umeton, Renato [editor.] | SpringerLink (Online service).
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BookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 10710Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XXI, 600 p. 258 illus., 121 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319729268.Subject(s): Application software | Artificial intelligence | Algorithms | Data mining | Computer science -- Mathematics | Computer engineering | Computer networks | Computer and Information Systems Applications | Artificial Intelligence | Algorithms | Data Mining and Knowledge Discovery | Mathematics of Computing | Computer Engineering and NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.3 Online resources: Click here to access online
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Springer Nature eBookSummary: 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 applications.
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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 applications.
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