Machine Learning, Optimization, and Big Data [electronic resource] : Third International Conference, MOD 2017, Volterra, Italy, September 14–17, 2017, Revised Selected Papers /

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Material type: Text

TextSeries: Information Systems and Applications, incl. Internet/Web, and HCI ; 10710Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018Description: XXI, 600 p. 258 illus., 121 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319729268

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

005.3 23

LOC classification:

QA76.76.A65

Online resources:

Click here to access online

In: 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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