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Scientific Data Mining and Knowledge Discovery

Principles and Foundations

This book can be downloaded and read in Apple Books on your Mac or iOS device.

Description

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.

Scientific Data Mining and Knowledge Discovery
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  • $109.99
  • Available on iPhone, iPad, iPod touch, and Mac.
  • Category: Databases
  • Published: Sep 19, 2009
  • Publisher: Springer Berlin Heidelberg
  • Seller: Springer Science+Business Media, LLC
  • Print Length: 410 Pages
  • Language: English
  • Requirements: This book can only be viewed on an iOS device with Apple Books on iOS 12 or later, iBooks 1.3.1 or later and iOS 4.3.3 or later, or a Mac with iBooks 1.0 or later and OS X 10.9 or later.

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