Soft Computing in Data Science
Editat de Azlinah Mohamed, Michael W. Berry, Bee Wah Yapen Limba Engleză Paperback – 24 noi 2017
The 26 revised full papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on deep learning and real-time classification; image feature classification and extraction; classification, clustering, visualization; applications of machine learning; data visualization; fuzzy logic; prediction models and e-learning; text and sentiment analytics.
Preț: 326.70 lei
Preț vechi: 408.37 lei
-20%
Puncte Express: 490
Carte tipărită la comandă
Livrare economică 07-21 iulie
Specificații
ISBN-13: 9789811072413
ISBN-10: 9811072418
Pagini: 336
Ilustrații: XV, 317 p. 123 illus.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.51 kg
Ediția:1st edition 2017
Editura: Springer
Locul publicării:Singapore, Singapore
ISBN-10: 9811072418
Pagini: 336
Ilustrații: XV, 317 p. 123 illus.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.51 kg
Ediția:1st edition 2017
Editura: Springer
Locul publicării:Singapore, Singapore
Cuprins
Deep learning and real-time classification.- Image feature classification and extraction.- Classification, clustering, visualization.- Applications of machine learning.- Data visualization.- Fuzzy logic.- Prediction models and e-learning.- Text and sentiment analytics.