9783319940298 - machine learning paradigms: advances in data analytics: 149 (18 risultati)

Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Lingua: Inglese
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Machine Learning Paradigms : Advances in Data Analytics
Tsihrintzis, George A. (EDT); Sotiropoulos, Dionisios N. (EDT); Jain, Lakhmi C. (EDT)
Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Machine Learning Paradigms : Advances in Data Analytics
Tsihrintzis, George A. (EDT); Sotiropoulos, Dionisios N. (EDT); Jain, Lakhmi C. (EDT)
Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Machine Learning Paradigms : Advances in Data Analytics
Tsihrintzis, George A. (EDT); Sotiropoulos, Dionisios N. (EDT); Jain, Lakhmi C. (EDT)
Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Machine Learning Paradigms : Advances in Data Analytics
Tsihrintzis, George A. (EDT); Sotiropoulos, Dionisios N. (EDT); Jain, Lakhmi C. (EDT)
Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging… as a force that drives towards dramatic changes in our daily lives, the workplace and human relationships. Synergies between physical, digital, biological and energy sciences and technologies, brought together by non-traditional data collection and analysis, drive the digital economy at all levels and offer new, previously-unavailable opportunities.The need for data analytics arises in most modern scientific disciplines, including engineering; natural-, computer- and information sciences; economics; business; commerce; environment; healthcare; and life sciences.Coming as the third volume under the general title MACHINE LEARNING PARADIGMS, the book includes an editorial note (Chapter 1) and an additional 12 chapters, and is divided into five parts: (1) Data Analytics in the Medical, Biological and Signal Sciences, (2) Data Analytics in Social Studies and Social Interactions, (3) Data Analytics in Traffic, Computer and Power Networks, (4) Data Analytics for Digital Forensics, and (5) Theoretical Advances and Tools for Data Analytics.This research book is intended for both experts/researchers in the field of data analytics, and readers working in the fields of artificial and computational intelligence as well as computer science in general who wish to learn more about the field of data analytics and its applications. An extensive list of bibliographic references at the end of each chapter guides readers to probe further into the application areas of interest to them.

Machine Learning Paradigms: Advances in Data Analytics (Intelligent Systems Reference Library (149))
Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Condizione: new. Questo è un articolo print on demand.

Lingua: Inglese
Editore: Springer International Publishing 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes chapters from leading global experts on recent theoretical and applied advances in the use of machine learning in data analyticsPresents recent research in pattern recognition and data analyticsIs intended f…or both experts/research.

Lingua: Inglese
Editore: Springer International Publishing Jul 2018 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analy…tics is emerging as a force that drives towards dramatic changes in our daily lives, the workplace and human relationships. Synergies between physical, digital, biological and energy sciences and technologies, brought together by non-traditional data collection and analysis, drive the digital economy at all levels and offer new, previously-unavailable opportunities.The need for data analytics arises in most modern scientific disciplines, including engineering; natural-, computer- and information sciences; economics; business; commerce; environment; healthcare; and life sciences.Coming as the third volume under the general title MACHINE LEARNING PARADIGMS, the book includes an editorial note (Chapter 1) and an additional 12 chapters, and is divided into five parts: (1) Data Analytics in the Medical, Biological and Signal Sciences, (2) Data Analytics in Social Studies and Social Interactions, (3) Data Analytics in Traffic, Computer and Power Networks, (4) Data Analytics for Digital Forensics, and (5) Theoretical Advances and Tools for Data Analytics.This research book is intended for both experts/researchers in the field of data analytics, and readers working in the fields of artificial and computational intelligence as well as computer science in general who wish to learn more about the field of data analytics and its applications. An extensive list of bibliographic references at the end of each chapter guides readers to probe further into the application areas of interest to them. 388 pp. Englisch.

Lingua: Inglese
Editore: Springer, Springer Jul 2018 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics… is emerging as a force that drives towards dramatic changes in our daily lives, the workplace and human relationships. Synergies between physical, digital, biological and energy sciences and technologies, brought together by non-traditional data collection and analysis, drive the digital economy at all levels and offer new, previously-unavailable opportunities.The need for data analytics arises in most modern scientific disciplines, including engineering; natural-, computer- and information sciences; economics; business; commerce; environment; healthcare; and life sciences.Coming as the third volume under the general title MACHINE LEARNING PARADIGMS, the book includes an editorial note (Chapter 1) and an additional 12 chapters, and is divided into five parts: (1) Data Analytics in the Medical, Biological and Signal Sciences, (2) Data Analytics in Social Studies and Social Interactions, (3) Data Analytics in Traffic, Computer and Power Networks, (4) Data Analytics for Digital Forensics, and (5) Theoretical Advances and Tools for Data Analytics.This research book is intended for both experts/researchers in the field of data analytics, and readers working in the fields of artificial and computational intelligence as well as computer science in general who wish to learn more about the field of data analytics and its applications. An extensive list of bibliographic references at the end of each chapter guides readers to probe further into the application areas of interest to them.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 388 pp. Englisch.

Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 120 di 188. Libro 120 di 188 - Intelligent Systems Reference Library
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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