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Machine Learning and Data Mining in Pattern Recognition

10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014, Proceedings

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Machine Learning and Data Mining in Pattern Recognition Petra Perner
Libristo kod: 02779855
Nakladnici Springer, Berlin, studeni 2013
This book constitutes the refereed proceedings of the 10th International Conference on Machine Learn... Cijeli opis
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This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

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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 2014
Broj stranica 536
EAN 9783319089782
ISBN 3319089781
Libristo kod 02779855
Nakladnici Springer, Berlin
Težina 836
Dimenzije 158 x 234 x 236

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Digital lifestyle > Internet guides & online services > Internet searching
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Databases > Information retrieval
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