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Discovery And Fusion Of Uncertain Knowledge In Data

Af: Weiyi Liu, Dapeng Tao, Ming Gao, Kun Yue, Hao Wu Engelsk Hardback

Discovery And Fusion Of Uncertain Knowledge In Data

Af: Weiyi Liu, Dapeng Tao, Ming Gao, Kun Yue, Hao Wu Engelsk Hardback
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Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge acquisition, representation, inference and data, Bayesian network (BN) is the key technology plays a key role in knowledge representation, in order to pave way to cope with incomplete, fuzzy data to solve the real-life problems.

This book presents Bayesian network as a technology to support data-intensive and incremental learning in knowledge discovery, inference and data fusion in uncertain environment.

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kr 893
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20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser

 

Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge acquisition, representation, inference and data, Bayesian network (BN) is the key technology plays a key role in knowledge representation, in order to pave way to cope with incomplete, fuzzy data to solve the real-life problems.

This book presents Bayesian network as a technology to support data-intensive and incremental learning in knowledge discovery, inference and data fusion in uncertain environment.

Produktdetaljer
Sprog: Engelsk
Sider: 224
ISBN-13: 9789813227125
Indbinding: Hardback
Udgave:
ISBN-10: 9813227125
Kategori: Data mining
Udg. Dato: 16 nov 2017
Længde: 22mm
Bredde: 236mm
Højde: 159mm
Forlag: World Scientific Publishing Co Pte Ltd
Oplagsdato: 16 nov 2017
Forfatter(e) Weiyi Liu, Dapeng Tao, Ming Gao, Kun Yue, Hao Wu


Kategori Data mining


ISBN-13 9789813227125


Sprog Engelsk


Indbinding Hardback


Sider 224


Udgave


Længde 22mm


Bredde 236mm


Højde 159mm


Udg. Dato 16 nov 2017


Oplagsdato 16 nov 2017


Forlag World Scientific Publishing Co Pte Ltd

Kategori sammenhænge