Advances in Knowledge Discovery and Data Mining
Editat de James Bailey, Latifur Khan, Takashi Washio, Gill Dobbie, Joshua Zhexue Huang, Ruili Wangen Limba Engleză Paperback – 19 mai 2016
The 91 full papers were carefully reviewed andselected from 307 submissions. They are organized in topical sections named:classification; machine learning; applications; novel methods and algorithms;opinion mining and sentiment analysis; clustering; feature extraction andpattern mining; graph and network data; spatiotemporal and image data; anomalydetection and clustering; novel models and algorithms; and text mining andrecommender systems.
| Toate formatele și edițiile | Preț | Express |
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| Springer – 12 apr 2016 | 336.27 lei 6-8 săpt. | |
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Specificații
ISBN-13: 9783319317526
ISBN-10: 3319317520
Pagini: 632
Ilustrații: XXIV, 608 p. 184 illus.
Dimensiuni: 155 x 235 x 34 mm
Greutate: 0.94 kg
Ediția:1st edition 2016
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3319317520
Pagini: 632
Ilustrații: XXIV, 608 p. 184 illus.
Dimensiuni: 155 x 235 x 34 mm
Greutate: 0.94 kg
Ediția:1st edition 2016
Editura: Springer
Locul publicării:Cham, Switzerland
Cuprins
Classification.- Machine learning.- Applications.- Novel methods and algorithms.- Opinion mining and sentiment analysis.- Clustering.- Feature extraction and pattern mining.- Graph and network data.- Spatiotemporal and image data.- Anomaly detection and clustering.- Novel models and algorithms.- Text mining and recommender systems.
Caracteristici
Includes supplementary material: sn.pub/extras