Scientific Data Mining and Knowledge Discovery

Principles and Foundations

Editors: Gaber, Mohamed Medhat (Ed.)

Buy this book

eBook $109.00
price for USA
  • ISBN 978-3-642-02788-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $149.00
price for USA
  • ISBN 978-3-642-02787-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-3-642-42624-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

With the evolution in data storage, large databases have stimulated researchers from many areas, especially machine learning and statistics, to adopt and develop new techniques for data analysis in different fields of science. In particular, there have been notable successes in the use of statistical, computational, and machine learning techniques to discover scientific knowledge in the fields of biology, chemistry, physics, and astronomy. With the recent advances in ontologies and knowledge representation, automated scientific discovery (ASD) has further, great prospects in the future.

The contributions in this book provide the reader with a complete view of the different tools used in the analysis of data for scientific discovery. Gaber has organized the presentation into four parts: Part I provides the reader with the necessary background in the disciplines on which scientific data mining and knowledge discovery are based. Part II details applications of computational methods used in geospatial, chemical, and bioinformatics applications. Part III is about data mining applications in geosciences, chemistry, and physics. Finally, in Part IV, future trends and directions for research are explained.

The book serves as a starting point for students and researchers interested in this multidisciplinary field. It offers both an overview of the state of the art and lists areas and open issues for future research and development.

Table of contents (14 chapters)

  • Introduction

    Gaber, Mohamed Medhat

    Pages 1-4

  • Machine Learning

    Hoffmann, Achim (et al.)

    Pages 7-52

  • Statistical Inference

    Khan, Shahjahan

    Pages 53-76

  • The Philosophy of Science and its relation to Machine Learning

    Williamson, Jon

    Pages 77-89

  • Concept Formation in Scientific Knowledge Discovery from a Constructivist View

    Peng, Wei (et al.)

    Pages 91-109

Buy this book

eBook $109.00
price for USA
  • ISBN 978-3-642-02788-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $149.00
price for USA
  • ISBN 978-3-642-02787-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-3-642-42624-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Bibliographic Information

Bibliographic Information
Book Title
Scientific Data Mining and Knowledge Discovery
Book Subtitle
Principles and Foundations
Editors
  • Mohamed Medhat Gaber
Copyright
2010
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-02788-8
DOI
10.1007/978-3-642-02788-8
Hardcover ISBN
978-3-642-02787-1
Softcover ISBN
978-3-642-42624-7
Edition Number
1
Number of Pages
X, 400
Topics