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Advances in Knowledge Discovery and Data Mining

Editat de James Bailey, Latifur Khan, Takashi Washio, Gill Dobbie, Joshua Zhexue Huang, Ruili Wang
en Limba Engleză Paperback – 19 mai 2016
This two-volume set, LNAI 9651 and 9652, constitutes thethoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advancesin Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, NewZealand, in April 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.
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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

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