Practical Approaches to Causal Relationship Exploration is popular PDF and ePub book, written by Jiuyong Li in 2015-03-02, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Practical Approaches to Causal Relationship Exploration can be Read Online from any device for your convenience.
Practical Approaches to Causal Relationship Exploration Book PDF Summary
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.
Detail Book of Practical Approaches to Causal Relationship Exploration PDF
- Author : Jiuyong Li
- Release : 02 March 2015
- Publisher : Springer
- ISBN : 9783319144337
- Genre : Computers
- Total Page : 87 pages
- Language : English
- PDF File Size : 11,7 Mb
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