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Discovery and fusion of uncertain kn...

Yue, Kun.

Discovery and fusion of uncertain knowledge in data[electronic resource] /

纪录类型:	书目-电子资源 : Monograph/item
[NT 15000414] null:	006.312
[NT 47271] Title/Author:	Discovery and fusion of uncertain knowledge in data/ Kun Yue...[et al.]
[NT 51406] other author:	Yue, Kun.
出版者:	Singapore : : World Scientific,, c2018.
面页册数:	1 online resource (224 p.) : : ill.
附注:	Title from PDF title page (viewed September 26, 2017)
标题:	Data mining.
标题:	Electronic books.
ISBN:	9789813227149
[NT 15000227] null:	Includes bibliographical references and index.
[NT 15000229] null:	"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.
电子资源:	http://www.worldscientific.com/worldscibooks/10.1142/10628#t=toc

Discovery and fusion of uncertain knowledge in data[electronic resource] /
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: 9789813227149Subjects--Topical Terms:

337740
Data mining.

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

Dewey Class. No.: 006.312

Discovery and fusion of uncertain knowledge in data[electronic resource] /
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020 $a 9789813227149 $q (electronic bk.)
020 $z 9789813227132 $q (pbk.)
020 $z 9789813227125 $q (hbk.)
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040 $a WSPC $b eng $c WSPC
041 0 $a eng
050 0 4 $a QA76.9.D343 $b Y84 2018
082 0 4 $a 006.312 $2 23
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 337740
650 0 $a Electronic books. $2 local $3 376747
700 1 $a Yue, Kun. $3 709851
830 0 $a East China Normal University scientific reports ; $v 6. $3 709852
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/10628#t=toc

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