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

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

Editor(s): Malcolm Atkinson, Rob Baxter, Michelle Galea, Mark Parsons, Peter Brezany, Oscar Corcho, Jano van Hemert, David Snelling

Published Online: 9 APR 2013

Print ISBN: 9781118398647

Online ISBN: 9781118540343

DOI: 10.1002/9781118540343

Series Editor(s): Albert Y. Zomaya

About this Book

Complete guidance for mastering the tools and techniques of the digital revolution

With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first time a new systematic approach for tackling the challenges of data-intensive computing, providing decision makers and technical experts alike with practical tools for dealing with our exploding data collections.

Emphasizing data-intensive thinking and interdisciplinary collaboration, The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business examines the essential components of knowledge discovery, surveys many of the current research efforts worldwide, and points to new areas for innovation. Complete with a wealth of examples and DISPEL-based methods demonstrating how to gain more from data in real-world systems, the book:

  • Outlines the concepts and rationale for implementing data-intensive computing in organizations
  • Covers from the ground up problem-solving strategies for data analysis in a data-rich world
  • Introduces techniques for data-intensive engineering using the Data-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 from astronomy and the humanities to transport engineering
  • Includes sample program snippets throughout the text as well as additional materials on a companion website

The Data Bonanza is a must-have guide for information strategists, data analysts, and engineers in business, research, and government, and for anyone wishing to be on the cutting edge of data mining, machine learning, databases, distributed systems, or large-scale computing.

Table of contents

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  1. Part I: Strategies for Success in the Digital-Data Revolution

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  2. Part II: Data-Intensive Knowledge Discovery

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  3. Part III: Data-Intensive Engineering

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    2. Chapter 12

      DISPEL Enactment (pages 251–273)

      Chee Sun Liew, Amrey Krause and David Snelling

  4. Part IV: Data-Intensive Application Experience

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    2. Chapter 15

      Environmental Risk Management (pages 301–326)

      Ladislav Hluchý, Ondrej Habala, Viet Tran and Branislav Šimo

    3. Chapter 16

      Analyzing Gene Expression Imaging Data in Developmental Biology (pages 327–351)

      Liangxiu Han, Jano van Hemert, Ian Overton, Paolo Besana and Richard Baldock

    4. Chapter 17

      Data-Intensive Seismology: Research Horizons (pages 353–376)

      Michelle Galea, Andreas Rietbrock, Alessandro Spinuso and Luca Trani

  5. Part V: Data-Intensive Beacons of Success

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    2. Chapter 18

      Data-Intensive Methods in Astronomy (pages 381–394)

      Thomas D. Kitching, Robert G. Mann, Laura E. Valkonen, Mark S. Holliman, Alastair Hume and Keith T. Noddle

    3. Chapter 22

      Estimating Species Distributions—Across Space, Through Time, and with Features of the Environment (pages 441–458)

      Steve Kelling, Daniel Fink, Wesley Hochachka, Ken Rosenberg, Robert Cook, Theodoros Damoulas, Claudio Silva and William Michener

  6. Part VI: The Data-Intensive Future

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