Practical Approaches to Causal Relationship Exploration PDF
By:Jiuyong Li,Lin Liu,Thuc Le
Published on 2015-03-02 by Springer
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.
This Book was ranked at 29 by Google Books for keyword relationship approach.
Book ID of Practical Approaches to Causal Relationship Exploration's Books is Jp4MBwAAQBAJ, Book which was written byJiuyong Li,Lin Liu,Thuc Lehave ETAG "1ossNw7Fn9c"
Book which was published by Springer since 2015-03-02 have ISBNs, ISBN 13 Code is 9783319144337 and ISBN 10 Code is 3319144332
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