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SpringerBriefs in Electrical and Computer Engineering

Practical Approaches to Causal Relationship Exploration

Authors: Li, Jiuyong, Liu, Lin, Le, Thuc

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eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-319-14433-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-14432-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This brief presents four practical methods to effectively explore causal relationships, which are often used for explanation, prediction and decision making in medicine, epidemiology, biology, economics, physics and social sciences. The first two methods apply conditional independence tests for causal discovery. The last two methods employ association rule mining for efficient causal hypothesis generation, and a partial association test and retrospective cohort study for validating the hypotheses. All four methods are innovative and effective in identifying potential causal relationships around a given target, and each has its own strength and weakness. For each method, a software tool is provided along with examples demonstrating its use. Practical Approaches to Causal Relationship Exploration is designed for researchers and practitioners working in the areas of artificial intelligence, machine learning, data mining, and biomedical research. The material also benefits advanced students interested in causal relationship discovery.

Table of contents (6 chapters)

  • Introduction

    Li, Jiuyong (et al.)

    Pages 1-7

  • Local Causal Discovery with a Simple PC Algorithm

    Li, Jiuyong (et al.)

    Pages 9-21

  • A Local Causal Discovery Algorithm for High Dimensional Data

    Li, Jiuyong (et al.)

    Pages 23-32

  • Causal Rule Discovery with Partial Association Test

    Li, Jiuyong (et al.)

    Pages 33-50

  • Causal Rule Discovery with Cohort Studies

    Li, Jiuyong (et al.)

    Pages 51-66

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-319-14433-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-14432-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Practical Approaches to Causal Relationship Exploration
Authors
Series Title
SpringerBriefs in Electrical and Computer Engineering
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-14433-7
DOI
10.1007/978-3-319-14433-7
Softcover ISBN
978-3-319-14432-0
Series ISSN
2191-8112
Edition Number
1
Number of Pages
X, 80
Number of Illustrations
55 b/w illustrations
Topics