Introduction ........................................................................ 1
Mohamed Medhat Gaber
Part I Background
Machine Learning.................................................................. 7
Achim Hoffmann and Ashesh Mahidadia
Statistical Inference................................................................ 53
Shahjahan Khan
The Philosophy of Science and itsrelation to Machine Learning............. 77
Jon Williamson
Concept Formation in Scientific Knowledge Discovery
from a Constructivist View........................................................ 91
Wei Peng and John S. Gero
Knowledge Representation and Ontologies.....................................111
Stephan Grimm
Part II Computational Science
Spatial Techniques.................................................................141
Nafaa Jabeur and Nabil Sahli
Computational Chemistry.........................................................173
Hassan Safouhi and Ahmed Bouferguene
String Mining in Bioinformatics..................................................207
Mohamed Abouelhoda and Moustafa Ghanem
vii
viii Contents
Part III Data Mining and Knowledge Discovery
Knowledge Discovery and Reasoning in Geospatial
Applications.........................................................................251
Nabil Sahli and Nafaa Jabeur
Data Mining and Discovery of Chemical Knowledge..........................269
Lu Wencong
Data Mining and Discovery of Astronomical Knowledge.....................319
Ghazi Al-Naymat
Part IV Future Trends
On-board Data Mining............................................................345
Steve Tanner, Cara Stein, and Sara J. Graves
Data Streams: An Overview and Scientific Applications......................377
Charu C. Aggarwal
Index.................................................................................399

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