Machine Learning, Optimization, and Data Science [electronic resource] : 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers / edited by Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton, Vincenzo Sciacca.
Contributor(s): Nicosia, Giuseppe [editor.]
| Pardalos, Panos [editor.] | Giuffrida, Giovanni [editor.] | Umeton, Renato [editor.] | Sciacca, Vincenzo [editor.] | SpringerLink (Online service).
Material type: 
BookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 11331Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XXII, 562 p. 224 illus., 115 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030137090.Subject(s): Application software | Machine learning | Algorithms | Data mining | Computer and Information Systems Applications | Machine Learning | Algorithms | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.3 Online resources: Click here to access online Machine learning -- Artificial intelligence -- Reinforcement learning -- Computational optimization -- Data science presenting -- Deep learning -- Big data -- Data analytics -- Neural networks.
This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, held in Volterra, Italy, in September 2018. The 46 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.
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