The Data Bonanza Improving Knowledge Discovery in Science, Engineering, and Business
Aus der Reihe
Wiley Series on Parallel and Distributed Computing
-
Form:Einzelkauf Download
-
Sprache:Englisch
-
eBook Format:PDF
- PDF Fr. 87.00 ausgewählt
- ePUB Fr. 87.00
Fr. 87.00
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
19.03.2013
Herausgeber
Malcolm Atkinson + weitereVerlag
John Wiley & Sons IncSeitenzahl
576 (Printausgabe)
Dateigröße
8437 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781118540244
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.
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.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.