9783030392499 - data science: new issues, challenges and applications: 869 (15 risultati)
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 385 di 538 - Studies in Computational Intelligence
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Data Science : New Issues, Challenges and Applications
Dzemyda, Gintautas (EDT); Bernataviciene, Jolita (EDT); Kacprzyk, Janusz (EDT)
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 385 di 538 - Studies in Computational Intelligence
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Data Science : New Issues, Challenges and Applications
Dzemyda, Gintautas (EDT); Bernataviciene, Jolita (EDT); Kacprzyk, Janusz (EDT)
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 385 di 538 - Studies in Computational Intelligence
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Data Science : New Issues, Challenges and Applications
Dzemyda, Gintautas (EDT); Bernataviciene, Jolita (EDT); Kacprzyk, Janusz (EDT)
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 385 di 538 - Studies in Computational Intelligence
- Rilegato
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Data Science : New Issues, Challenges and Applications
Dzemyda, Gintautas (EDT); Bernataviciene, Jolita (EDT); Kacprzyk, Janusz (EDT)
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 385 di 538 - Studies in Computational Intelligence
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 385 di 538 - Studies in Computational Intelligence
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Lingua: Inglese
Editore: Springer International Publishing, 2020
Serie: Libro 385 di 538 - Studies in Computational Intelligence
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Buch. Condizione: 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,… 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.
Data Science: New Issues, Challenges and Applications
Dzemyda, Gintautas (Edited by)/ Bernataviciene, Jolita (Edited by)/ Kacprzyk, Janusz (Edited by)
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 385 di 538 - Studies in Computational Intelligence
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Hardcover. Condizione: Brand New. 332 pages. 9.25x6.10x0.94 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 385 di 538 - Studies in Computational Intelligence
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Hardcover. Condizione: New. New. book.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 385 di 538 - Studies in Computational Intelligence
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing, 2020
Serie: Libro 385 di 538 - Studies in Computational Intelligence
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a wide range of selected inspiring and interesting state-of-the-art contributions on Data ScienceIncludes sixteen successful examples of recent advances in the rapidly evolving field of Data Scienc…e Focuses on theory and appli.
Lingua: Inglese
Editore: Springer International Publishing Feb 2020, 2020
Serie: Libro 385 di 538 - Studies in Computational Intelligence
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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 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, decomposi…tion of signals, 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. 332 pp. Englisch.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Feb 2020, 2020
Serie: Libro 385 di 538 - Studies in Computational Intelligence
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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 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, 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 332 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 385 di 538 - Studies in Computational Intelligence
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 385 di 538 - Studies in Computational Intelligence
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
