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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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    • Title: Machine Learning, Optimization, and Big Data by Author
    • Publisher: Springer Nature
    • Print ISBN: 9783319729251, 331972925X
    • eText ISBN: 9783319729268
    • Edition: 2017 2018 edition
    • Format: EPUB eBook
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