Knowledge Discovery from Multi-Sourced Data

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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 studie...
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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 studie...
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  • Formats: epub
  • ISBN: 9789811918797
  • Publication Date: 13 Jun 2022
  • Publisher: Springer Nature Singapore
  • Product language: English
  • Drm Setting: DRM