Visual Knowledge Discovery and Machine Learning: 144 - Brossura
Libro 115 di 188: Intelligent Systems Reference Library
Sinossi
This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Dalla quarta di copertina
This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.
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Visual Knowledge Discovery and Machine Learning
Da: Corner of a Foreign Field, Tokyo, TOKYO, Giappone
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Soft cover. Condizione: Very Good. No Jacket. 2018.Hardcover.Very good condition. 317 pages.Ships from Japan.Usually ships in 1-2 working days. Codice articolo 44357
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Visual Knowledge Discovery and Machine Learning (eng)
Print on DemandDa: Brook Bookstore On Demand, Napoli, NA, Italia
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Condizione: new. Questo è un articolo print on demand. Codice articolo 7736f70cc5e671694c8012a549ba3fc6
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Visual Knowledge Discovery and Machine Learning
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Condizione: New. In. Codice articolo ria9783319892306_new
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Visual Knowledge Discovery and Machine Learning
Editore:
Springer International Publishing, 2019
ISBN 10: 3319892304
ISBN 13: 9783319892306
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Expands methods of knowledge discovery based on visual means  Generates new lossless visual representations of n-D data in 2-D that fully preserve n-D data with a focus on machine learning/data mining goals, in contrast to a generic vis. Codice articolo 294884336
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Visual Knowledge Discovery and Machine Learning
Editore:
Springer International Publishing Jun 2019, 2019
ISBN 10: 3319892304
ISBN 13: 9783319892306
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science. 340 pp. Englisch. Codice articolo 9783319892306
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Visual Knowledge Discovery and Machine Learning
Da: Books Puddle, New York, NY, U.S.A.
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Visual Knowledge Discovery and Machine Learning
Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Visual Knowledge Discovery and Machine Learning | Boris Kovalerchuk | Taschenbuch | xxi | Englisch | 2019 | Springer | EAN 9783319892306 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 115141084
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Visual Knowledge Discovery and Machine Learning
Editore:
Springer, Springer Jun 2019, 2019
ISBN 10: 3319892304
ISBN 13: 9783319892306
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 340 pp. Englisch. Codice articolo 9783319892306
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Visual Knowledge Discovery and Machine Learning
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Condizione: New. Print on Demand. Codice articolo 370897970
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Visual Knowledge Discovery and Machine Learning
ISBN 10: 3319892304
ISBN 13: 9783319892306
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science. Codice articolo 9783319892306
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