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OverviewThis two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016. The 91 full papers were carefully reviewed and selected 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 and pattern mining; graph and network data; spatiotemporal and image data; anomaly detection and clustering; novel models and algorithms; and text mining and recommender systems. Full Product DetailsAuthor: James Bailey , Latifur Khan , Takashi Washio , Gill DobbiePublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2016 Volume: 9651 Dimensions: Width: 15.50cm , Height: 3.30cm , Length: 23.50cm Weight: 9.416kg ISBN: 9783319317526ISBN 10: 3319317520 Pages: 608 Publication Date: 19 May 2016 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsClassification.- 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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