Skip to main content

Data Mining and Discovery of Chemical Knowledge

  • Chapter
  • First Online:
Scientific Data Mining and Knowledge Discovery
  • 2946 Accesses

Abstract

In this chapter, the Data mining methods adopted are briefly introduced. The main focuses are on the successful applications of data mining methods in chemistry and chemical engineering. The discoveries of chemical knowledge cover the formation of ternary Intermetallic compounds, structure activity relationships of drugs, and industrial optimization based on chemical data mining methods, especially by using statistical pattern recognition and support vector machine.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lu Wencong .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Wencong, L. (2009). Data Mining and Discovery of Chemical Knowledge. In: Gaber, M. (eds) Scientific Data Mining and Knowledge Discovery. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02788-8_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02788-8_11

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02787-1

  • Online ISBN: 978-3-642-02788-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics