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Discovery And Fusion Of Uncertain Knowledge In Data

af Hao Wu, Ming Gao, Kun Yue, Weiyi Liu, Dapeng Tao

indgår i East China Normal University Scientific Reports serien

Discovery And Fusion Of Uncertain Knowledge In Data af Hao Wu
Bag om Discovery And Fusion Of Uncertain Knowledge In Data

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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789813227125
  • Indbinding:
  • Hardback
  • Sideantal:
  • 224
  • Udgivet:
  • 16. november 2017
  • Størrelse:
  • 236x159x22 mm.
  • Vægt:
  • 468 g.
  • 8-11 hverdage.
  • 9. december 2024

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Beskrivelse af Discovery And Fusion Of Uncertain Knowledge In Data

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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