Scientific data mining and knowledge discovery [electronic resource] : principles and foundations / Mohamed Medhat Gaber, editor.

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 statistica...

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Bibliographic Details
Online Access: Full Text (via Springer)
Other Authors: Gaber, Mohamed Medhat
Format: Electronic eBook
Language:English
Published: Heidelberg ; New York : Springer, ©2010.
Subjects:
Table of Contents:
  • 1) Introduction
  • Part I: Background
  • 2) Machine Learning
  • 3) Statistical Inference
  • 4) The Philosophy of Science and Its Relation to Machine Learning
  • 5) Concept Formation in Scientific Knwoledge Discovery from a Constructivist View
  • 6) Knowledge Representation and Ontologies
  • Part II: Computational Science
  • 7) Spatial Techniques
  • 8) Computational Chemistry
  • 9) String Mining in Bioinformatics
  • Part III: Data Mining and Knowledge Discovery
  • 10) Knowledge Discovery and Reasoning in Geospatial Applications
  • 11) Data Mining and Discovery of Chemical Knowledge
  • 12) Data Mining and Discovery of Astronomical Knowledge
  • Part IV: Future Trends
  • 14) Onboard Data Mining
  • 15) Data Streams: An Overview and Scientific Applications
  • References, Index.