Logo - springer
Slogan - springer

Computer Science - Database Management & Information Retrieval | Data Engineering - Mining, Information and Intelligence

Data Engineering

Mining, Information and Intelligence

Chan, Yupo, Talburt, John, Talley, Terry M. (Eds.)

2010, XVII, 447p.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$159.00

(net) price for USA

ISBN 978-1-4419-0176-7

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase


learn more about Springer eBooks

add to marked items

Hardcover
Information

Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$209.00

(net) price for USA

ISBN 978-1-4419-0175-0

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$209.00

(net) price for USA

ISBN 978-1-4614-2476-5

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

  • First volume to organize data mining, management, and warehousing into the systematic structure of Data Engineering
  • Focuses on recent applied research results applicable to a broad industry-research-academic market
  • End-of-chapter exercises for classroom use

DATA ENGINEERING: Mining, Information, and Intelligence describes applied research aimed at the task of collecting data and distilling useful information from that data. Most of the work presented emanates from research completed through collaborations between Acxiom Corporation and its academic research partners under the aegis of the Acxiom Laboratory for Applied Research (ALAR). Chapters are roughly ordered to follow the logical sequence of the transformation of data from raw input data streams to refined information. Four discrete sections cover Data Integration and Information Quality; Grid Computing; Data Mining; and Visualization. Additionally, there are exercises at the end of each chapter.

The primary audience for this book is the broad base of anyone interested in data engineering, whether from academia, market research firms, or business-intelligence companies. The volume is ideally suited for researchers, practitioners, and postgraduate students alike. With its focus on problems arising from industry rather than a basic research perspective, combined with its intelligent organization, extensive references, and subject and author indices, it can serve the academic, research, and industrial audiences.

Content Level » Research

Keywords » Analytics - association - classification - data quality - database - entity resolution - grid computing - performance - visualization

Related subjects » Applications - Business Information Systems - Database Management & Information Retrieval - Information Systems and Applications - Security and Cryptology

Table of contents / Preface / Sample pages 

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Database Management.