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The Data Bonanza

Improving Knowledge Discovery in Science, Engineering, and Business
 E-Book
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9781118540305
Veröffentl:
2013
Einband:
E-Book
Seiten:
576
Autor:
Malcolm Atkinson
Serie:
Wiley Series on Parallel and Distributed Computing
eBook Typ:
EPUB
eBook Format:
Reflowable
Kopierschutz:
2 - DRM Adobe
Sprache:
Englisch
Beschreibung:

Complete guidance for mastering the tools and techniques ofthe digital revolutionWith the digital revolution opening up tremendous opportunitiesin many fields, there is a growing need for skilled professionalswho can develop data-intensive systems and extract information andknowledge from them. This book frames for the first time a newsystematic approach for tackling the challenges of data-intensivecomputing, providing decision makers and technical experts alikewith practical tools for dealing with our exploding datacollections.Emphasizing data-intensive thinking and interdisciplinarycollaboration, The Data Bonanza: Improving Knowledge Discoveryin Science, Engineering, and Business examines the essentialcomponents of knowledge discovery, surveys many of the currentresearch efforts worldwide, and points to new areas for innovation.Complete with a wealth of examples and DISPEL-based methodsdemonstrating how to gain more from data in real-world systems, thebook:* Outlines the concepts and rationale for implementingdata-intensive computing in organizations* Covers from the ground up problem-solving strategies for dataanalysis in a data-rich world* Introduces techniques for data-intensive engineering using theData-Intensive Systems Process Engineering Language DISPEL* Features in-depth case studies in customer relations,environmental hazards, seismology, and more* Showcases successful applications in areas ranging fromastronomy and the humanities to transport engineering* Includes sample program snippets throughout the text as well asadditional materials on a companion websiteThe Data Bonanza is a must-have guide for informationstrategists, data analysts, and engineers in business, research,and government, and for anyone wishing to be on the cutting edge ofdata mining, machine learning, databases, distributed systems, orlarge-scale computing.

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