Jiuyong Li

(Author)

Practical Approaches to Causal Relationship Exploration (2015)Paperback - 2015, 25 March 2015

Practical Approaches to Causal Relationship Exploration (2015)
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Part of Series
Springerbriefs in Electrical and Computer Engineering
Print Length
80 pages
Language
English
Publisher
Springer
Date Published
25 Mar 2015
ISBN-10
3319144324
ISBN-13
9783319144320

Description

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.

Product Details

Authors:
Jiuyong LiLin LiuThuc Duy Le
Book Edition:
2015
Book Format:
Paperback
Country of Origin:
NL
Date Published:
25 March 2015
Dimensions:
23.39 x 15.6 x 0.48 cm
ISBN-10:
3319144324
ISBN-13:
9783319144320
Language:
English
Location:
Cham
Pages:
80
Publisher:
Weight:
140.61 gm

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