Transparent Data Mining Big (21 results)
Language: English
Published by Springer, 2017
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
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Language: English
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Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
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Language: English
Published by Springer, 2018
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
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Language: English
Published by Springer, 2017
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
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More imagesLanguage: English
Published by Springer, 2018
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
- Softcover
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Taschenbuch. Condition: Neu. Transparent Data Mining for Big and Small Data | Tania Cerquitelli (u. a.) | Taschenbuch | Studies in Big Data | xv | Englisch | 2018 | Springer | EAN 9783319852997 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com… | Anbieter: preigu.
Language: English
Published by Springer, Palgrave Macmillan, 2017
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book…. Experimental findings of transparent solutions are tailored to different domain experts, and experimental metrics for evaluating algorithmic transparency are presented. The book also discusses societal effects of black box vs. transparent approaches to data mining, as well as real-world use cases for these approaches.As algorithms increasingly support different aspects of modern life, a greater level of transparency is sorely needed, not least because discrimination and biases have to be avoided. With contributions from domain experts, this book provides an overview of an emerging area of data mining that has profound societal consequences, and provides the technical background to for readers to contribute to the field or to put existing approaches to practical use.
Language: English
Published by Springer, 2018
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in t…he book. Experimental findings of transparent solutions are tailored to different domain experts, and experimental metrics for evaluating algorithmic transparency are presented. The book also discusses societal effects of black box vs. transparent approaches to data mining, as well as real-world use cases for these approaches.As algorithms increasingly support different aspects of modern life, a greater level of transparency is sorely needed, not least because discrimination and biases have to be avoided. With contributions from domain experts, this book provides an overview of an emerging area of data mining that has profound societal consequences, and provides the technical background to for readers to contribute to the field or to put existing approaches to practical use.
Transparent Data Mining for Big and Small Data
Cerquitelli, Tania (Edited by)/ Quercia, Daniele (Edited by)/ Pasquale, Frank (Edited by)
Language: English
Published by Springer, 2017
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
- Hardcover
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Hardcover. Condition: Brand New. 236 pages. 9.25x6.10x0.59 inches. In Stock.
Language: English
Published by Springer, 2018
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
- Softcover
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Language: English
Published by Springer, 2018
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
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Language: English
Published by Springer, 2017
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
- Hardcover
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Language: English
Published by Springer International Publishing Jul 2018, 2018
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable)…are covered in the book. Experimental findings of transparent solutions are tailored to different domain experts, and experimental metrics for evaluating algorithmic transparency are presented. The book also discusses societal effects of black box vs. transparent approaches to data mining, as well as real-world use cases for these approaches.As algorithms increasingly support different aspects of modern life, a greater level of transparency is sorely needed, not least because discrimination and biases have to be avoided. With contributions from domain experts, this book provides an overview of an emerging area of data mining that has profound societal consequences, and provides the technical background to for readers to contribute to the field or to put existing approaches to practical use. 236 pp. Englisch.
Language: English
Published by Springer International Publishing Mai 2017, 2017
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are cov…ered in the book. Experimental findings of transparent solutions are tailored to different domain experts, and experimental metrics for evaluating algorithmic transparency are presented. The book also discusses societal effects of black box vs. transparent approaches to data mining, as well as real-world use cases for these approaches.As algorithms increasingly support different aspects of modern life, a greater level of transparency is sorely needed, not least because discrimination and biases have to be avoided. With contributions from domain experts, this book provides an overview of an emerging area of data mining that has profound societal consequences, and provides the technical background to for readers to contribute to the field or to put existing approaches to practical use. 236 pp. Englisch.
Language: English
Published by Springer International Publishing, 2017
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes the negative effects of opaque black-box algorithms in technical detailOffers solutions for the implementation of transparent algorithmsDiscusses specific state-of-the-art transparent algorithms as w.
Language: English
Published by Springer International Publishing, 2018
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
- Softcover
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Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes the negative effects of opaque black-box algorithms in technical detailOffers solutions for the implementation of transparent algorithmsDiscusses specific state-of-the-art transparent algorithms as w.
Language: English
Published by Springer, 2018
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
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Condition: New. Print on Demand pp. 215.
Language: English
Published by Springer, Springer Jul 2018, 2018
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 236 pp. Englisch.
Language: English
Published by Springer, Palgrave Macmillan Mai 2017, 2017
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered… in the book. Experimental findings of transparent solutions are tailored to different domain experts, and experimental metrics for evaluating algorithmic transparency are presented. The book also discusses societal effects of black box vs. transparent approaches to data mining, as well as real-world use cases for these approaches.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 236 pp. Englisch.
Language: English
Published by Springer, 2018
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
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Condition: New. PRINT ON DEMAND pp. 215.
Language: English
Published by Springer, 2017
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
- Hardcover
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Language: English
Published by Springer, 2017
Series: Studies in Big Data, Book 20 of 95. Book 20 of 95 - Studies in Big Data
- Hardcover
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