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Title Trends and applications in knowledge discovery and data mining : PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, Revised Selected Papers / edited by Huiping Cao, Jinyan Li, Ruili Wang.
Imprint Switzerland : Springer, 2016.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Series Lecture notes in artificial intelligence, 0302-9743 ; 9794
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science. Lecture notes in artificial intelligence ; 9794.
LNCS sublibrary. SL 7, Artificial intelligence.
Subject Data mining -- Congresses.
Alt Name Cao, Huiping,
Li, Jinyan, Ph. D.,
Wang, Ruili,
Pacific-Asia Conference on Knowledge Discovery and Data Mining (20th : 2016 : Auckland, N.Z.), jointly held conference.
BDM (Workshop) (2016 : Auckland, N.Z.), jointly held conference.
MLSDA (Workshop) (2016 : Auckland, N.Z.), jointly held conference.
PACC (Workshop) (2016 : Auckland, N.Z.), jointly held conference.
WDMBF (Workshop) (2016 : Auckland, N.Z.), jointly held conference.
Description 1 online resource (xiii, 282 pages) : illustrations.
polychrome rdacc
Note Includes author index.
Contents Biologically Inspired Data Mining Techniques, BDM -- Machine Learning for Sensory Data Analysis, MLSDA -- Predictive Analytics for Critical Care, PACC -- Data Mining in Business and Finance, WDMBF.
Summary This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2016, held in conjunction with PAKDD, the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016. The 23 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2016 include: Biologically Inspired Data Mining Techniques, BDM; Machine Learning for Sensory Data Analysis, MLSDA; Predictive Analytics for Critical Care, PACC; as well as Data Mining in Business and Finance, WDMBF.
Note Online resource; title from PDF title page (SpringerLink, viewed July 20, 2016).
ISBN 9783319429960 (electronic bk.)
3319429965 (electronic bk.)
9783319429953 (print)
ISBN/ISSN 10.1007/978-3-319-42996-0
OCLC # 953799393


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