Data science new issues (10 Ergebnisse)
Sprache: Englisch
Verlag: Springer 2020
Serie: Studies in Computational Intelligence, Buch 385 von 538. Buch 385 von 538 - Studies in Computational Intelligence
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Sprache: Englisch
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Serie: Studies in Computational Intelligence, Buch 385 von 538. Buch 385 von 538 - Studies in Computational Intelligence
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer 2020
Serie: Studies in Computational Intelligence, Buch 385 von 538. Buch 385 von 538 - Studies in Computational Intelligence
- Hardcover
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer 2021
Serie: Studies in Computational Intelligence, Buch 385 von 538. Buch 385 von 538 - Studies in Computational Intelligence
- Softcover
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Weitere BilderSprache: Englisch
Verlag: Springer 2021
Serie: Studies in Computational Intelligence, Buch 385 von 538. Buch 385 von 538 - Studies in Computational Intelligence
- Softcover
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Taschenbuch. Zustand: Neu. Data Science: New Issues, Challenges and Applications | Gintautas Dzemyda (u. a.) | Taschenbuch | xviii | Englisch | 2021 | Springer | EAN 9783030392529 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: p…reigu.
Sprache: Englisch
Verlag: Springer International Publishing 2021
Serie: Studies in Computational Intelligence, Buch 385 von 538. Buch 385 von 538 - Studies in Computational Intelligence
- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains 16 chapters by researchers working in various fields of data science. They focus on theory and applications in language technologies, optimization, computational thinking, intelligent decision support systems, decomposition of sign…als, model-driven development methodologies, interoperability of enterprise applications, anomaly detection in financial markets, 3D virtual reality, monitoring of environmental data, convolutional neural networks, knowledge storage, data stream classification, and security in social networking. The respective papers highlight a wealth of issues in, and applications of, data science.Modern technologies allow us to store and transfer large amounts of data quickly. They can be very diverse - images, numbers, streaming, related to human behavior and physiological parameters, etc. Whether the data is just raw numbers, crude images, or will help solve current problems and predict future developments, depends on whether we can effectively process and analyze it. Data science is evolving rapidly. However, it is still a very young field.In particular, data science is concerned with visualizations, statistics, pattern recognition, neurocomputing, image analysis, machine learning, artificial intelligence, databases and data processing, data mining, big data analytics, and knowledge discovery in databases. It also has many interfaces with optimization, block chaining, cyber-social and cyber-physical systems, Internet of Things (IoT), social computing, high-performance computing, in-memory key-value stores, cloud computing, social computing, data feeds, overlay networks, cognitive computing, crowdsource analysis, log analysis, container-based virtualization, and lifetime value modeling. Again, all of these areas are highly interrelated. In addition, data science is now expanding to new fields of application: chemical engineering, biotechnology, building energymanagement, materials microscopy, geographic research, learning analytics, radiology, metal design, ecosystem homeostasis investigation, and many others.
Sprache: Englisch
Verlag: Springer International Publishing 2020
Serie: Studies in Computational Intelligence, Buch 385 von 538. Buch 385 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains 16 chapters by researchers working in various fields of data science. They focus on theory and applications in language technologies, optimization, computational thinking, intelligent decision support systems, decomposition of signals, mo…del-driven development methodologies, interoperability of enterprise applications, anomaly detection in financial markets, 3D virtual reality, monitoring of environmental data, convolutional neural networks, knowledge storage, data stream classification, and security in social networking. The respective papers highlight a wealth of issues in, and applications of, data science.Modern technologies allow us to store and transfer large amounts of data quickly. They can be very diverse - images, numbers, streaming, related to human behavior and physiological parameters, etc. Whether the data is just raw numbers, crude images, or will help solve current problems and predict future developments, depends on whether we can effectively process and analyze it. Data science is evolving rapidly. However, it is still a very young field.In particular, data science is concerned with visualizations, statistics, pattern recognition, neurocomputing, image analysis, machine learning, artificial intelligence, databases and data processing, data mining, big data analytics, and knowledge discovery in databases. It also has many interfaces with optimization, block chaining, cyber-social and cyber-physical systems, Internet of Things (IoT), social computing, high-performance computing, in-memory key-value stores, cloud computing, social computing, data feeds, overlay networks, cognitive computing, crowdsource analysis, log analysis, container-based virtualization, and lifetime value modeling. Again, all of these areas are highly interrelated. In addition, data science is now expanding to new fields of application: chemical engineering, biotechnology, building energymanagement, materials microscopy, geographic research, learning analytics, radiology, metal design, ecosystem homeostasis investigation, and many others.
Data Science: New Issues, Challenges and Applications
Dzemyda, Gintautas (Editor)/ Bernataviciene, Jolita (Editor)/ Kacprzyk, Janusz (Editor)
Sprache: Englisch
Verlag: Springer-Nature New York Inc 2021
Serie: Studies in Computational Intelligence, Buch 385 von 538. Buch 385 von 538 - Studies in Computational Intelligence
- Softcover
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Paperback. Zustand: Brand New. 332 pages. 9.25x6.10x0.78 inches. In Stock.
Data Science: New Issues, Challenges and Applications
Dzemyda, Gintautas (Edited by)/ Bernataviciene, Jolita (Edited by)/ Kacprzyk, Janusz (Edited by)
Sprache: Englisch
Verlag: Springer 2020
Serie: Studies in Computational Intelligence, Buch 385 von 538. Buch 385 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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Hardcover. Zustand: Brand New. 332 pages. 9.25x6.10x0.94 inches. In Stock.
