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Principles and Theory for Data Mining and Machine Learning

Principles and Theory for Data Mining and Machine Learning - New York, NY Springer New York 2009.

Mathematics and Statistics (Springer-11649)

ISBN: 9780387981352, 978-0-387-98135-2

Subjects--Topical Terms:
Signal, Image and Speech Processing
Bioinformatics
Computational Biology/Bioinformatics
Computer science
Data mining
Data Mining and Knowledge Discovery
Mathematical statistics
Optical pattern recognition
Pattern Recognition
Probability and Statistics in Computer Science
Statistical Theory and Methods
Statistics
Statistics

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