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Machine Learning and Data Mining in Pattern Recognition

6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009, Proceedings

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Machine Learning and Data Mining in Pattern Recognition Petra Perner
Libristo kod: 01650136
Nakladnici Springer, Berlin, lipanj 2009
This book constitutes the refereed proceedings of the 6th International Conference on Machine Learni... Cijeli opis
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This book constitutes the refereed proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2009, held in Leipzig, Germany, in July 2009.§The 63 revised full papers presented were carefully reviewed and selected from 205 submissions. The papers are organized in topical sections on attribute discretization and data preparation; classification; ensemble classifier learning; associate rules and pattern minig; support vector machines; clustering; novelty and outlier detection; learning; data mining and multimedia data; text mining; aspects of data mining; as well as data mining in medicine.

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Informacije o knjizi

Puni naziv Machine Learning and Data Mining in Pattern Recognition
Autor Petra Perner
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2009
Broj stranica 824
EAN 9783642030697
ISBN 3642030696
Libristo kod 01650136
Nakladnici Springer, Berlin
Težina 1264
Dimenzije 155 x 235 x 33

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer programming / software engineering > Compilers & interpreters
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Computer programming / software engineering > Programming & scripting languages: general
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Computer science > Mathematical theory of computation
Medicine & Nursing > Medicine: general issues
Computing & Information Technology > Information technology: general issues
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