Logo - springer
Slogan - springer

Biomedical Sciences | Data Mining in Biomedicine

Data Mining in Biomedicine

Pardalos, Panos M., Boginski, Vladimir L., Vazacopoulos, Alkis (Eds.)

2007, XVIII, 580 p.

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 978-0-387-69319-4

digitally watermarked, no DRM

Included Format: PDF

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 978-0-387-69318-7

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 978-1-4419-4343-9

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. Coverage includes:

  • New approaches for the analysis of biomedical data
  • Applications of data mining techniques to real-life problems in medical practice
  • Comprehensive reviews of recent trends in the field

The book addresses the challenges and opportunities of data mining in fundamental areas of biomedical research, such as genomics, proteomics, protein characterization, and neuroscience.

Data Mining in Biomedicine will be of interest to scientists and practitioners working in the field of biomedicine, as well as related areas of engineering, mathematics, and computer science. It will also be useful to graduate students and young researchers looking for exciting new directions in their fields of study.

Content Level » Research

Keywords » Biomedicine - Clustering - STATISTICA - algorithms - bioinformatics - classification - computed tomography (CT) - data analysis - data mining - dynamics - linear optimization - optimization - statistics

Related subjects » Applications - Biomedical Engineering - Biomedical Sciences - Life Sciences, Medicine & Health

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 Biomedicine (general).