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Machine Learning and Data Mining in Pattern Recognition

12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Machine Learning and Data Mining in Pattern Recognition Petra Perner
Libristo kod: 12580450
Nakladnici Springer International Publishing AG, lipanj 2016
This book constitutes the refereed proceedings of the 12th International Conference on Machine Learn... Cijeli opis
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This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 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 2016
Broj stranica 807
EAN 9783319419190
ISBN 3319419196
Libristo kod 12580450
Nakladnici Springer International Publishing AG
Težina 1223
Dimenzije 155 x 235 x 44

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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