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Machine Learning and Data Mining in Pattern Recognition

11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Machine Learning and Data Mining in Pattern Recognition Petra Perner
Libristo kod: 09361491
Nakladnici Springer International Publishing AG, srpanj 2015
This book constitutes the refereed proceedings of the 11th International Conference on Machine Learn... Cijeli opis
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This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2015, held in Hamburg, Germany in July 2015. The 41 full papers presented were carefully reviewed and selected from 123 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 2015
Broj stranica 454
EAN 9783319210230
ISBN 3319210238
Libristo kod 09361491
Nakladnici Springer International Publishing AG
Težina 6964
Dimenzije 155 x 235 x 24

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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