Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
EUR 18
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Ajouter au panierxiv, 385 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 69,11
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 72,88
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Vendeur : Phatpocket Limited, Waltham Abbey, HERTS, Royaume-Uni
EUR 78,28
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Ajouter au panierEtat : Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Edité par Chapman and Hall/CRC 2017-10-05, 2017
ISBN 10 : 1498763936 ISBN 13 : 9781498763936
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 85,30
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Ajouter au panierHardcover. Etat : New.
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 96,94
Autre deviseQuantité disponible : 10 disponible(s)
Ajouter au panierPF. Etat : New.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 103,62
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Edité par Springer International Publishing, Springer International Publishing, 2018
ISBN 10 : 3319823876 ISBN 13 : 9783319823874
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 96,29
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.The continued and rapid advancement of modern technology now allows scientists to collect data of increasingly unprecedented size and complexity. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data. Simultaneous variable selection and estimation is one of the key statistical problems involved in analyzing such big and complex data.The purpose of this book is to stimulate research and foster interaction between researchers in the area of high-dimensional data analysis. More concretely, its goals are to: 1) highlight and expand the breadth of existing methods in big data and high-dimensional data analysis and their potential for the advancement of both the mathematical and statistical sciences; 2) identify important directions for future research in the theory of regularization methods, in algorithmic development, and in methodologies for different application areas; and 3) facilitate collaboration between theoretical and subject-specific researchers.
Edité par Springer International Publishing, Springer International Publishing Jul 2018, 2018
ISBN 10 : 3319823876 ISBN 13 : 9783319823874
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 96,29
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware -This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.The continued and rapid advancement of modern technology now allows scientists to collect data of increasingly unprecedented size and complexity. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data. Simultaneous variable selection and estimation is one of the key statistical problems involved in analyzing such big and complex data.The purpose of this book is to stimulate research and foster interaction between researchers in the area of high-dimensional data analysis. More concretely, its goals are to: 1) highlight and expand the breadth of existing methods in big data and high-dimensional data analysis and their potential for the advancement of both the mathematical and statistical sciences; 2) identify important directions for future research in the theory of regularization methods, in algorithmic development, and in methodologies for different application areas; and 3) facilitate collaboration between theoretical and subject-specific researchers.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 112,90
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Ajouter au panierEtat : New.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 117,54
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 121,04
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Edité par Springer International Publishing, 2017
ISBN 10 : 3319415727 ISBN 13 : 9783319415727
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 117,69
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.The continued and rapid advancement of modern technology now allows scientists to collect data of increasingly unprecedented size and complexity. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data. Simultaneous variable selection and estimation is one of the key statistical problems involved in analyzing such big and complex data. The purpose of this book is to stimulate research and foster interaction between researchers in the area of high-dimensional data analysis. More concretely, its goals are to: 1) highlight and expand the breadth of existing methods in big data and high-dimensional data analysis and their potential for the advancement of both the mathematical and statistical sciences; 2) identify important directions for future research in the theory of regularization methods, in algorithmic development, and in methodologies for different application areas; and 3) facilitate collaboration between theoretical and subject-specific researchers.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 125,10
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 129,87
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Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 134,46
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Ajouter au panierEtat : New. pp. 386.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 140,67
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Edité par Springer International Publishing, Springer International Publishing Mär 2017, 2017
ISBN 10 : 3319415727 ISBN 13 : 9783319415727
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 139,09
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : Neu. Neuware -This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.The continued and rapid advancement of modern technology now allows scientists to collect data of increasingly unprecedented size and complexity. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data. Simultaneous variable selection and estimation is one of the key statistical problems involved in analyzing such big and complex data.The purpose of this book is to stimulate research and foster interaction between researchers in the area of high-dimensional data analysis. More concretely, its goals are to: 1) highlight and expand the breadth of existing methods in big data and high-dimensional data analysis and their potential for the advancement of both the mathematical and statistical sciences; 2) identify important directions for future research in the theory of regularization methods, in algorithmic development, and in methodologies for different application areas; and 3) facilitate collaboration between theoretical and subject-specific researchers.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 92,81
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Ajouter au panierEtat : New.
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
EUR 96,24
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Ajouter au panierhardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 129,42
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Ajouter au panierEtat : New.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 193,86
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Ajouter au panierHardcover. Etat : Brand New. 385 pages. 9.50x6.25x1.00 inches. In Stock.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 188,89
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Ajouter au panierHardcover. Etat : New. New. book.
Vendeur : liu xing, Nanjing, JS, Chine
EUR 99,30
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierpaperback. Etat : New. Paperback. Pub Date: 2020-12-01 Pages: 260 Language: Chinese Publisher: Jilin University Press This book is oriented to many scientific issues in the application of big data-related technical methods in the field of complex system design. and systematically introduces complex system design The status quo of research fields related to big data. big data management process. big data analysis technology. big data application platform for complex system design. and complex system design technolog.
Edité par Machinery Industry Press, 2020
ISBN 10 : 711165790X ISBN 13 : 9787111657903
Langue: chinois
Vendeur : liu xing, Nanjing, JS, Chine
EUR 132,17
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierpaperback. Etat : New. Paperback. Pub Date: 2020-06-01 Pages: 372 Publisher: Machinery Industry Press When big data resources become more and more complex. more powerful computer systems can no longer solve the problem.?This book takes us to revisit the data preparation process. focusing on the most important but often overlooked topics-identifiers. immutability. introspection. and data indexing.?In addition. the book also covers common content related to big data design. architecture. operation and analysis. as we.
Edité par National Defense Industry Press, 2018
ISBN 10 : 7118115657 ISBN 13 : 9787118115659
Langue: chinois
Vendeur : liu xing, Nanjing, JS, Chine
EUR 147,42
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierHardcover. Etat : New. HardCover. Pub Date: 2018-08-01 Pages: 433 Language: Chinese Publisher: National Defense Industry Press big data analysis and practice of complex system of big data analysis and research-oriented practitioners in different fields introduce cutting-edge theory. while cutting-edge theory to solve practical problems in different areas. and finally summarized. extracted complex .
ISBN 10 : 7010188661 ISBN 13 : 9787010188669
Vendeur : liu xing, Nanjing, JS, Chine
EUR 92,89
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierpaperback. Etat : New. Paperback. Pub Date: 2018-12-01 Pages: 549 Language: Chinese Publisher: People's Publishing House Improved Technology and Big Data Analysis: The Complex Relationship between Economic and Social Systems Through the author's many years of exploration and practice. systematically summarizing China The introduction of input-output technology and the development and application in many fields. from the perspective of the data science revolution.
ISBN 10 : 7519501361 ISBN 13 : 9787519501365
Vendeur : liu xing, Nanjing, JS, Chine
EUR 100,90
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierpaperback. Etat : New. Language:Chinese.Paperback. Pub Date: 2018-02-01 Publisher: The Current Affairs Press book explains: in a complex world of interconnected and interfering. real-time political data processes and data-based political analysis techniques. especially How to use data analysis techniques to gain insight into the feasibility of political changes and complex interpersonal relationships. In research design. the book is mainly based on two clues: one.
Edité par Springer International Publishing, 2018
ISBN 10 : 3319823876 ISBN 13 : 9783319823874
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 83,50
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explores the latest advances in the analysis of high-dimensional and complex dataFeatures methodological contributions as well as applications Stimulates discussion and further research in high-dimensional data analysisDr.
Edité par Springer International Publishing Jul 2018, 2018
ISBN 10 : 3319823876 ISBN 13 : 9783319823874
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 96,29
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.The continued and rapid advancement of modern technology now allows scientists to collect data of increasingly unprecedented size and complexity. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data. Simultaneous variable selection and estimation is one of the key statistical problems involved in analyzing such big and complex data.The purpose of this book is to stimulate research and foster interaction between researchers in the area of high-dimensional data analysis. More concretely, its goals are to: 1) highlight and expand the breadth of existing methods in big data and high-dimensional data analysis and their potential for the advancement of both the mathematical and statistical sciences; 2) identify important directions for future research in the theory of regularization methods, in algorithmic development, and in methodologies for different application areas; and 3) facilitate collaboration between theoretical and subject-specific researchers. 400 pp. Englisch.