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:
Information technology.
Information retrieval.
Databases.
Information Storage and Retrieval
Technologie de l'information.
Recherche de l'information.
information technology.
information retrieval.
REFERENCE > Questions & Answers.
Information technology
Information retrieval
Databases
Electronic books.
Database
databases.
Bases de données.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • PART I. STRATEGIES FOR SUCCESS IN THE DIGITAL-DATA REVOLUTION
  • 1. The Digital-Data Challenge / Malcolm Atkinson and Mark Parsons
  • 2. The Digital-Data Revolution / Malcolm Atkinson
  • 3. The Data-Intensive Survival Guide / Malcolm Atkinson
  • 4. Data-Intensive Thinking with DISPEL / Malcolm Atkinson.
  • PART II. DATA-INTENSIVE KNOWLEDGE DISCOVERY
  • 5. Data-Intensive Analysis / Oscar Corcho and Jano van Hemert
  • 6. Problem Solving in Data-Intensive Knowledge Discovery / Oscar Corcho and Jano van Hemert
  • 7. Data-Intensive Components and Usage Patterns / Oscar Corcho
  • 8. Sharing and Reuse in Knowledge Discovery / Oscar Corcho.
  • PART III. DATA-INTENSIVE ENGINEERING
  • 9. Platforms for Data-Intensive Analysis / David Snelling
  • 10. Definition of the DISPEL Language / Paul Martin and Gagarine Yaikhom
  • 11. DISPEL Development / Adrian Mouat and David Snelling
  • 12. DISPEL Enactment / Chee Sun Liew, Amrey Krause, and David Snelling.
  • PART IV. DATA-INTENSIVE APPLICATION EXPERIENCE
  • 13. The Application Foundations of DISPEL / Rob Baxter
  • 14. Analytical Platform for Customer Relationship Management / Maciej Jarka and Mark Parsons
  • 15. Environmental Risk Management / Ladislav Hluchý, Ondrej Habala, Viet Tran, and Branislav Šimo
  • 16. Analyzing Gene Expression Imaging Data in Developmental Biology / Liangxiu Han, Jano van Hemert, Ian Overton, Paolo Besana, and Richard Baldock
  • 17. Data-Intensive Seismology: Research Horizons / Michelle Galea, Andreas Rietbrock, Alessandro Spinuso, and Luca Trani.
  • PART V. DATA-INTENSIVE BEACONS OF SUCCESS
  • 18. Data-Intensive Methods in Astronomy / Thomas D. Kitching, Robert G. Mann, Laura E. Valkonen, Mark S. Holliman, Alastair Hume, and Keith T. Noddle
  • 19. The World at One's Fingertips: Interactive Interpretation of Environmental Data / Jon Blower, Keith Haines, and Alastair Gemmell
  • 20. Data-Driven Research in the Humanities--the DARIAH Research Infrastructure / Andreas Aschenbrenner, Tobias Blanke, Christiane Fritze, and Wolfgang Pempe
  • 21. Analysis of Large and Complex Engineering and Transport Data / Jim Austin
  • 22. Estimating Species Distributions--Across Space, Through Time, and with Features of the Environment / Steve Kelling, Daniel Fink, Wesley Hochachka, Ken Rosenberg, Robert Cook, Theodoros Damoulas, Claudio Silva, and William Michener.
  • PART VI. THE DATA-INTENSIVE FUTURE
  • 23. Data-Intensive Trends / Malcolm Atkinson and Paolo Besana
  • 24. Data-Rich Futures / Malcolm Atkinson.
  • Appendix A. Glossary / Michelle Galea and Malcolm Atkinson
  • Appendix B. DISPEL Reference Manual / Paul Martin
  • Appendix C. Component Definitions / Malcolm Atkinson and Chee Sun Liew.

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