國立虎尾科技大學 |

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 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Trends and Applications in Knowledge Discovery and Data Mining/ edited by Huiping Cao, Jinyan Li, Ruili Wang.
Reminder of title:	PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, Revised Selected Papers /
other author:	Cao, Huiping.
Description:	XIII, 282 p. 84 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Information Systems Applications (incl. Internet). -
Online resource:	https://doi.org/10.1007/978-3-319-42996-0
ISBN:	9783319429960

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 /
Trends and Applications in Knowledge Discovery and Data MiningPAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, Revised Selected Papers /[electronic resource] :edited by Huiping Cao, Jinyan Li, Ruili Wang. - 1st ed. 2016. - XIII, 282 p. 84 illus.online resource. - Lecture Notes in Artificial Intelligence ;9794. - Lecture Notes in Artificial Intelligence ;9285.

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.

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.

ISBN: 9783319429960

Standard No.: 10.1007/978-3-319-42996-0doiSubjects--Topical Terms:

881699
Information Systems Applications (incl. Internet).

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

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 /
LDR:02293nam a22004095i 4500 001 981359
003 DE-He213
005 20200703002322.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319429960 $9 978-3-319-42996-0
024 7 $a 10.1007/978-3-319-42996-0 $2 doi
035 $a 978-3-319-42996-0
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Trends and Applications in Knowledge Discovery and Data Mining $h [electronic resource] : $b PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, Revised Selected Papers / $c edited by Huiping Cao, Jinyan Li, Ruili Wang.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a XIII, 282 p. 84 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Artificial Intelligence ; $v 9794
505 0 $a 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.
520 $a 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.
650 2 4 $a Information Systems Applications (incl. Internet). $3 881699
650 0 $a Artificial intelligence. $3 559380
650 0 $a Data mining. $3 528622
650 0 $a Health informatics. $3 1064466
650 0 $a Information storage and retrieval. $3 1069252
650 0 $a Application software. $3 528147
650 0 $a Computers. $3 565115
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Health Informatics. $3 593963
650 2 4 $a Information Storage and Retrieval. $3 593926
650 2 4 $a Computation by Abstract Devices. $3 669792
700 1 $a Cao, Huiping. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1111311
700 1 $a Li, Jinyan. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1111312
700 1 $a Wang, Ruili. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1111313
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319429953
776 0 8 $i Printed edition: $z 9783319429977
830 0 $a Lecture Notes in Artificial Intelligence ; $v 9285 $3 1253845
856 4 0 $u https://doi.org/10.1007/978-3-319-42996-0
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)