Atkinson / Baxter / Brezany The Data Bonanza

Improving Knowledge Discovery in Science, Engineering, and Business
1. Auflage 2013
ISBN: 978-1-118-54024-4
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 576 Seiten, E-Book

Reihe: Wiley Series on Parallel and Distributed Computing

Complete guidance for mastering the tools and techniques ofthe digital revolution
With 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 website
The 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.

Autoren/Hrsg.

Atkinson, Malcolm

Baxter, Rob

Brezany, Peter

Corcho, Oscar

Galea, Michelle

Parsons, Mark

Snelling, David

van Hemert, Jano

Über Autor(innen)

MALCOLM ATKINSON, PhD, is Professor of e-Science in theSchool of Informatics at the University of Edinburgh in Scotland.He is also Data-Intensive Research Group leader, Director of thee-Science Institute, IT architect for the ADMIRE and VERCE EUprojects and UK e-Science Envoy. Professor Atkinson has beenleading research projects for several decades and served on manyadvisory bodies.