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Rule Based Systems for Big Data

Overview of attention for book
Cover of 'Rule Based Systems for Big Data'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
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    Chapter 2 Theoretical Preliminaries
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    Chapter 3 Generation of Classification Rules
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    Chapter 4 Simplification of Classification Rules
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    Chapter 5 Representation of Classification Rules
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    Chapter 6 Ensemble Learning Approaches
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    Chapter 7 Interpretability Analysis
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    Chapter 8 Case Studies
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    Chapter 9 Conclusion
Attention for Chapter 9: Conclusion
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Readers on

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Summary
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Chapter title
Conclusion
Chapter number 9
Book title
Rule Based Systems for Big Data
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-23696-4_9
Book ISBNs
978-3-31-923695-7, 978-3-31-923696-4
Authors

Han Liu, Alexander Gegov, Mihaela Cocea

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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