Machine Intelligence and Big Data in Industry: Studies in Big Data, cartea 19
Editat de Dominik Ryżko, Piotr Gawrysiak, Marzena Kryszkiewicz, Henryk Rybińskien Limba Engleză Hardback – 4 apr 2016
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Specificații
ISBN-13: 9783319303147
ISBN-10: 3319303147
Pagini: 236
Ilustrații: VIII, 236 p. 62 illus., 39 illus. in color.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.52 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Big Data
Locul publicării:Cham, Switzerland
ISBN-10: 3319303147
Pagini: 236
Ilustrații: VIII, 236 p. 62 illus., 39 illus. in color.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.52 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Big Data
Locul publicării:Cham, Switzerland
Cuprins
Text Processing.- Data Mining.- Text and Multimedia Processing.- Software.- Complex Systems, Internet of Things and Agent Systems.
Textul de pe ultima copertă
This book presents valuable contributions devoted topractical applications of Machine Intelligence and Big Data in various branchesof the industry. All the contributions are extended versions of presentationsdelivered at the Industrial Session the 6th International Conference on PatternRecognition and Machine Intelligence (PREMI 2015) held in Warsaw, Poland atJune 30- July 3, 2015, which passed through a rigorous reviewing process. Thecontributions address real world problems and show innovative solutions used tosolve them. This volume will serve as a bridge between researchers andpractitioners, as well as between different industry branches, which can benefitfrom sharing ideas and results.
Caracteristici
Presents valuable contributions devoted to practical applications of Machine Intelligence and Big Data in various branches of industry Extended versions of presentations delivered at the Industrial Session of the 6th International Conference on Pattern Recognition and Machine Intelligence (PREMI 2015) held in Warsaw, Poland at June 30- July 3, 2015 Addresses real world problems and shows innovative solutions for them Includes supplementary material: sn.pub/extras