Knowledge Discovery From Multi-sourced Data - Chen Ye

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Knowledge Discovery From Multi-sourced Data - Chen Ye

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Knowledge Discovery From Multi-sourced Data - Chen Ye

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Knowledge Discovery From Multi-sourced Data - Chen Ye

This Book Addresses Several Knowledge Discovery Problems On Multi-sourced Data Where The Theories, Techniques, And Methods In Data Cleaning, Data Mining, And Natural Language Processing Are Synthetically Used. This Book Mainly Focuses On Three Data Models: The Multi-sourced Isomorphic Data, The Multi-sourced Heterogeneous Data, And The Text Data. On The Basis Of Three Data Models, This Book Studies The Knowledge Discovery Problems Including Truth Discovery And Fact Discovery On Multi-sourced Data From Four Important Properties: Relevance, Inconsistency, Sparseness, And Heterogeneity, Which Is Useful For Specialists As Well As Graduate Students.
  • Brand: Unbranded
  • Category: Computing & Internet
  • Format: Paperback
  • Language: English
  • Publication Date: 2022-06-15
  • Publisher / Label: Springer Nature B.V
  • Author: Chen Ye
  • Number of Pages: 96
  • Fruugo ID: 469789270-983744193
  • ISBN: 9789811918780

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