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Uncertainty Handling and Quality Assessment in Data Mining Book

Uncertainty Handling and Quality Assessment in Data Mining
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Uncertainty Handling and Quality Assessment in Data Mining, Uncertainty Handling and Quality Assessment in Data Mining provides an introduction to the application of these concepts in Knowledge Discovery and Data Mining. It reviews the state-of-the-art in uncertainty handling and discusses a framework for unveili, Uncertainty Handling and Quality Assessment in Data Mining
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  • Uncertainty Handling and Quality Assessment in Data Mining
  • Written by author Michalis Vazirgiannis
  • Published by Springer-Verlag New York, LLC, 1/28/2013
  • "Uncertainty Handling and Quality Assessment in Data Mining provides an introduction to the application of these concepts in Knowledge Discovery and Data Mining. It reviews the state-of-the-art in uncertainty handling and discusses a framework for unveili
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Book Categories

Authors

Introduction 1
Data Mining Process 11
Quality Assessment in Data Mining 73
Uncertainty Handling in Data Mining 129
UMiner: A Data Mining System in Handling Uncertainty and Quality 183
Case Studies 199
Index 223


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Uncertainty Handling and Quality Assessment in Data Mining, Uncertainty Handling and Quality Assessment in Data Mining provides an introduction to the application of these concepts in Knowledge Discovery and Data Mining. It reviews the state-of-the-art in uncertainty handling and discusses a framework for unveili, Uncertainty Handling and Quality Assessment in Data Mining

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Uncertainty Handling and Quality Assessment in Data Mining, Uncertainty Handling and Quality Assessment in Data Mining provides an introduction to the application of these concepts in Knowledge Discovery and Data Mining. It reviews the state-of-the-art in uncertainty handling and discusses a framework for unveili, Uncertainty Handling and Quality Assessment in Data Mining

Uncertainty Handling and Quality Assessment in Data Mining

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Uncertainty Handling and Quality Assessment in Data Mining, Uncertainty Handling and Quality Assessment in Data Mining provides an introduction to the application of these concepts in Knowledge Discovery and Data Mining. It reviews the state-of-the-art in uncertainty handling and discusses a framework for unveili, Uncertainty Handling and Quality Assessment in Data Mining

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