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ORCIDScientific Data Mining and Knowledge Discovery 2010
- Mohamed Medhat Gaber
:
Scientific Data Mining and Knowledge Discovery - Principles and Foundations. Springer 2010, ISBN 978-3-642-02787-1 - Mohamed Medhat Gaber:
Introduction. 1-4
Part 1 / Background
- Achim G. Hoffmann, Ashesh Mahidadia:
Machine Learning. 7-52 - Shahjahan Khan:
Statistical Inference. 53-76 - Jon Williamson:
The Philosophy of Science and its relation to Machine Learning. 77-89 - Wei Peng, John S. Gero:
Concept Formation in Scientific Knowledge Discovery from a Constructivist View. 91-109 - Stephan Grimm:
Knowledge Representation and Ontologies. 111-137
Part 2 / Computational Science
- Nafaâ Jabeur, Nabil Sahli:
Spatial Techniques. 141-172 - Hassan Safouhi, Ahmed Bouferguene:
Computational Chemistry. 173-206 - Mohamed Abouelhoda, Moustafa Ghanem:
String Mining in Bioinformatics. 207-247
Part 3 / Data Mining and Knowledge Discovery
- Nabil Sahli, Nafaâ Jabeur:
Knowledge Discovery and Reasoning in Geospatial Applications. 251-268 - Wencong Lu:
Data Mining and Discovery of Chemical Knowledge. 269-317 - Ghazi Al-Naymat:
Data Mining and Discovery of Astronomical Knowledge. 319-341
Part 4 / Future Trends
- Steve Tanner, Cara Stein, Sara J. Graves:
On-board Data Mining. 345-376 - Charu C. Aggarwal:
Data Streams: An Overview and Scientific Applications. 377-397
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