Scientific Data Mining and Knowledge Discovery: Principles and Foundations

Book Overview

Background.- Machine Learning.- Statistical Inference.- The Philosophy of Science and its relation to Machine Learning.- Concept Formation in Scientific Knowledge Discovery from a Constructivist View.- Knowledge Representation and Ontologies.- Computational Science.- Spatial Techniques.- Computational Chemistry.- String Mining in Bioinformatics.- Data Mining and Knowledge Discovery.- Knowledge Discovery and Reasoning in Geospatial Applications.- Data Mining and Discovery of Chemical Knowledge.- Data Mining and Discovery of Astronomical Knowledge.- Future Trends.- On-board Data Mining.- Data Streams: An Overview and Scientific Applications.

• Format: Paperback
• Language: English
• ISBN: 3642426247
• ISBN13: 9783642426247
• Release Date: November 2014
• Publisher: Springer
• Length: 400 Pages
• Weight: 1.27 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"