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The DATA Bonanza : Improving Knowledge Discovery in Science, Engineering, and Business /

This book presents the most up-to-date opportunities and challenges emerging in knowledge discovery, helping readers develop the technical skills to design and develop data-intensive methods and processes. Offering an introduction to the current R and D efforts worldwide, the book includes examples...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Atkinson, Malcolm (Editor ), Baxter, Rob (Editor ), Galea, Michelle (Editor ), Parsons, Mark (Computer scientist) (Editor ), Brezany, Peter, 1948- (Editor ), Corcho, Oscar, 1976- (Editor ), Van Hemert, Jano (Editor ), Snelling, David (Computer scientist) (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, New Jersey : Wiley : IEEE Computer Society, [2013]
Colección:Wiley series on parallel and distributed computing.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 4 |a The DATA Bonanza :  |b Improving Knowledge Discovery in Science, Engineering, and Business /  |c edited by Malcolm Atkinson, Rob Baxter, Michelle Galea, Mark Parsons, Peter Brezany, Oscar Corcho, Jano van Hemert, David Snelling. 
264 1 |a Hoboken, New Jersey :  |b Wiley :  |b IEEE Computer Society,  |c [2013] 
264 4 |c ©2013 
300 |a 1 online resource (xxx, 543 pages) :  |b illustrations (chiefly color), maps 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Wiley series on parallel and distributed computing 
504 |a Includes bibliographical references and index. 
505 0 0 |g PART I.  |t STRATEGIES FOR SUCCESS IN THE DIGITAL-DATA REVOLUTION --  |g 1.  |t The Digital-Data Challenge /  |r Malcolm Atkinson and Mark Parsons --  |g 2.  |t The Digital-Data Revolution /  |r Malcolm Atkinson --  |g 3.  |t The Data-Intensive Survival Guide /  |r Malcolm Atkinson --  |g 4.  |t Data-Intensive Thinking with DISPEL /  |r Malcolm Atkinson. 
505 8 0 |g PART II.  |t DATA-INTENSIVE KNOWLEDGE DISCOVERY --  |g 5.  |t Data-Intensive Analysis /  |r Oscar Corcho and Jano van Hemert --  |g 6.  |t Problem Solving in Data-Intensive Knowledge Discovery /  |r Oscar Corcho and Jano van Hemert --  |g 7.  |t Data-Intensive Components and Usage Patterns /  |r Oscar Corcho --  |g 8.  |t Sharing and Reuse in Knowledge Discovery /  |r Oscar Corcho. 
505 8 0 |g PART III.  |t DATA-INTENSIVE ENGINEERING --  |g 9.  |t Platforms for Data-Intensive Analysis /  |r David Snelling --  |g 10.  |t Definition of the DISPEL Language /  |r Paul Martin and Gagarine Yaikhom --  |g 11.  |t DISPEL Development /  |r Adrian Mouat and David Snelling --  |g 12.  |t DISPEL Enactment /  |r Chee Sun Liew, Amrey Krause, and David Snelling. 
505 8 0 |g PART IV.  |t DATA-INTENSIVE APPLICATION EXPERIENCE --  |g 13.  |t The Application Foundations of DISPEL /  |r Rob Baxter --  |g 14.  |t Analytical Platform for Customer Relationship Management /  |r Maciej Jarka and Mark Parsons --  |g 15.  |t Environmental Risk Management /  |r Ladislav Hluchý, Ondrej Habala, Viet Tran, and Branislav Šimo --  |g 16.  |t Analyzing Gene Expression Imaging Data in Developmental Biology /  |r Liangxiu Han, Jano van Hemert, Ian Overton, Paolo Besana, and Richard Baldock --  |g 17.  |t Data-Intensive Seismology: Research Horizons /  |r Michelle Galea, Andreas Rietbrock, Alessandro Spinuso, and Luca Trani. 
505 8 0 |g PART V.  |t DATA-INTENSIVE BEACONS OF SUCCESS --  |g 18.  |t Data-Intensive Methods in Astronomy /  |r Thomas D. Kitching, Robert G. Mann, Laura E. Valkonen, Mark S. Holliman, Alastair Hume, and Keith T. Noddle --  |g 19.  |t The World at One's Fingertips: Interactive Interpretation of Environmental Data /  |r Jon Blower, Keith Haines, and Alastair Gemmell --  |g 20.  |t Data-Driven Research in the Humanities--the DARIAH Research Infrastructure /  |r Andreas Aschenbrenner, Tobias Blanke, Christiane Fritze, and Wolfgang Pempe --  |g 21.  |t Analysis of Large and Complex Engineering and Transport Data /  |r Jim Austin --  |g 22.  |t Estimating Species Distributions--Across Space, Through Time, and with Features of the Environment /  |r Steve Kelling, Daniel Fink, Wesley Hochachka, Ken Rosenberg, Robert Cook, Theodoros Damoulas, Claudio Silva, and William Michener. 
505 8 0 |g PART VI.  |t THE DATA-INTENSIVE FUTURE --  |g 23.  |t Data-Intensive Trends /  |r Malcolm Atkinson and Paolo Besana --  |g 24.  |t Data-Rich Futures /  |r Malcolm Atkinson. --  |g Appendix A.  |t Glossary /  |r Michelle Galea and Malcolm Atkinson --  |g Appendix B.  |t DISPEL Reference Manual /  |r Paul Martin --  |g Appendix C.  |t Component Definitions /  |r Malcolm Atkinson and Chee Sun Liew. 
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520 |a This book presents the most up-to-date opportunities and challenges emerging in knowledge discovery, helping readers develop the technical skills to design and develop data-intensive methods and processes. Offering an introduction to the current R and D efforts worldwide, the book includes examples and case studies with strategies for addressing a wide variety of data-intensive challenges. The book includes a discussion of the DISPEL language, its development, enactment, and applications as well as data-intensive beacons of success, focusing on methods in astronomy, interactive interpretation. 
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700 1 |a Atkinson, Malcolm,  |e editor. 
700 1 |a Baxter, Rob,  |e editor. 
700 1 |a Galea, Michelle,  |e editor. 
700 1 |a Parsons, Mark  |c (Computer scientist),  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PCjHCXgrddKrYhxKY4JDbYd 
700 1 |a Brezany, Peter,  |d 1948-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PCjxMD9C4xphF7tRQWCwYGd 
700 1 |a Corcho, Oscar,  |d 1976-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PBJdCpqTcMcWW7ch9WG7CQq 
700 1 |a Van Hemert, Jano,  |e editor. 
700 1 |a Snelling, David  |c (Computer scientist),  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PCjChygMFJwj8djmBpjCQhd 
758 |i has work:  |a The DATA Bonanza (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGMWgq6pR6GKWQKHPkD7Dy  |4 https://id.oclc.org/worldcat/ontology/hasWork 
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830 0 |a Wiley series on parallel and distributed computing. 
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