Scientific Data Mining and Knowledge Discovery Principles and Foundations /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Gaber, Mohamed Medhat. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Subjects: Computer science.; Chemistry.; Mathematical geography.; Data mining.; Artificial intelligence.; Optical pattern recognition.; Computer Science.; Data Mining and Knowledge Discovery.; Computational Science and Engineering.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.; Computer Applications in Chemistry.; Computer Applications in Earth Sciences.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-02788-8

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...

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.