Advances in Knowledge Discovery and Data Mining : 20th Pacific-Asia Conferenc...

Check the listing for details.

USD 85.37
Condition: see listing
LocationJessup US
ShippingFree shipping (check listing for details)
Seller greatbookprices1
96.7% positive · 340757 feedback
ListingFixedPrice · Active
Start time2025-04-16T12:36:22.000Z
View on eBay Read review
Advances in Knowledge Discovery and Data Mining : 20th Pacific-Asia Conferenc... Specs
Book TitleAdvances in Knowledge Discovery and Data Mining : 20th Pacific-As
ISBN9783319317496
Subject AreaMathematics, Computers
Publication NameAdvances in Knowledge Discovery and Data Mining : 20th Pacific-Asia Conference, Pakdd 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II
PublisherSpringer International Publishing A&G
Item Length9.3 in
SubjectIntelligence (Ai) & Semantics, Probability & Statistics / General, Databases / Data Mining
Publication Year2016
SeriesLecture Notes in Computer Science Ser.
TypeTextbook
FormatTrade Paperback
LanguageEnglish
AuthorJames Bailey
Item Weight313.6 Oz
Item Width6.1 in
Number of PagesXxiv, 572 Pages
Listing details

Advances in Knowledge Discovery and Data Mining : 20th Pacific-Asia Conference, Pakdd 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Paperback by Bailey, James (EDT); Khan, Latifur (EDT); Washio, Takashi (EDT); Dobbie, Gillian (EDT); Huang, Joshua Zhexue (EDT), ISBN 3319317490, ISBN-13 9783319317496,

Brand New, Free shipping in the USThis 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.