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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 AngleščinaAngleščina
Knjiga Mehka
Knjiga Machine Learning and Data Mining in Pattern Recognition Petra Perner
Koda Libristo: 12580450
Založba Springer International Publishing AG, junij 2016
This book constitutes the refereed proceedings of the 12th International Conference on Machine Learn... Celoten 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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O knjigi

Polni naslov Machine Learning and Data Mining in Pattern Recognition
Avtor Petra Perner
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2016
Število strani 807
EAN 9783319419190
ISBN 3319419196
Koda Libristo 12580450
Založba Springer International Publishing AG
Teža 1223
Mere 155 x 235 x 44

Kategorije

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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