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Discovery and fusion of uncertain kn...

Yue, Kun.

Discovery and fusion of uncertain knowledge in data

Record Type:	Electronic resources : Monograph/item
Title/Author:	Discovery and fusion of uncertain knowledge in dataKun Yue...[et al.]
other author:	Yue, Kun.
Published:	Singapore :World Scientific,c2018.
Description:	1 online resource (224 p.) :ill.
Notes:	Title from PDF title page (viewed September 26, 2017)
Subject:	Data mining.
Online resource:	http://www.worldscientific.com/worldscibooks/10.1142/10628#t=toc
ISBN:	9789813227149$q(electronic bk.)

Discovery and fusion of uncertain knowledge in data
Discovery and fusion of uncertain knowledge in data[electronic resource] /Kun Yue...[et al.] - 1st ed. - Singapore :World Scientific,c2018. - 1 online resource (224 p.) :ill. - East China Normal University scientific reports,62382-5715 ;. - East China Normal University scientific reports ;6..

Title from PDF title page (viewed September 26, 2017)

Includes bibliographical references and index.

"As one of the popular and important probabilistic graphical models, Bayesian network (BN) is the effective framework for representing and inferring uncertain knowledge by means of qualitative and quantitative manners. In this book, adopting BN as the framework of knowledge representation and inferences, we consider the following issues: Learning BN from massive data using MapReduce; Inferences of large-scale BN using MapReduce; BN-based lineage representation and analysis over uncertain data; Lineage-driven and BN-based error detection in uncertain data; Fusion of uncertain knowledge in dynamic data."--Preface.

Electronic reproduction.
Singapore :
World Scientific,
[2017]

Mode of access: World Wide Web.

ISBN: 9789813227149$q(electronic bk.)Subjects--Topical Terms:

184440
Data mining.

LC Class. No.: QA76.9.D343 / Y84 2018

Dewey Class. No.: 006.312

Discovery and fusion of uncertain knowledge in data
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050 0 4 $a QA76.9.D343 $b Y84 2018
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245 0 0 $a Discovery and fusion of uncertain knowledge in data $h [electronic resource] / $c Kun Yue...[et al.]
250 $a 1st ed.
260 $a Singapore : $b World Scientific, $c c2018.
300 $a 1 online resource (224 p.) : $b ill.
490 1 $a East China Normal University scientific reports, $x 2382-5715 ; $v 6
500 $a Title from PDF title page (viewed September 26, 2017)
504 $a Includes bibliographical references and index.
520 $a "As one of the popular and important probabilistic graphical models, Bayesian network (BN) is the effective framework for representing and inferring uncertain knowledge by means of qualitative and quantitative manners. In this book, adopting BN as the framework of knowledge representation and inferences, we consider the following issues: Learning BN from massive data using MapReduce; Inferences of large-scale BN using MapReduce; BN-based lineage representation and analysis over uncertain data; Lineage-driven and BN-based error detection in uncertain data; Fusion of uncertain knowledge in dynamic data."--Preface.
533 $a Electronic reproduction. $b Singapore : $c World Scientific, $d [2017]
538 $a Mode of access: World Wide Web.
588 $a Description based on print version record.
650 0 $a Data mining. $3 184440
650 0 $a Electronic books. $3 242495
700 1 $a Yue, Kun. $3 840133
830 0 $a East China Normal University scientific reports ; $v 6. $3 840134
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/10628#t=toc