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Practical Approaches to Causal Relationship Exploration by Jiuyong Li, Lin Liu, Thuc Le - Paperback
239.40 AED

Practical Approaches to Causal Relationship Exploration by Jiuyong Li, Lin Liu, Thuc Le - Paperback

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Category Type
Information Technology
ISBN
9783319144320
Author
Jiuyong Li, Lin Liu, Thuc Le
Publisher
Springer
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 ...

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PRODUCT INFORMATION

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    Specifications

    Category Type
    Information Technology
    ISBN
    9783319144320
    Languages
    English
    Item EAN
    2724436111847
    People
    Author
    Jiuyong Li, Lin Liu, Thuc Le
    Category Type
    Information Technology
    ISBN
    9783319144320
    Languages
    English
    Item EAN
    2724436111847
    People
    Author
    Jiuyong Li, Lin Liu, Thuc Le
    People
    Publisher
    Springer
    Technical Information
    Binding
    Paperback
    Languages and countries
    Book Language
    English
    Read more
  •  

    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

    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 Features:
    • Category: Information Technology
    • Binding: Paperback
    • Language of Text: English
    • Author(s): Jiuyong Li, Lin Liu, Thuc Le
    • Publisher: Springer
    • ISBN: 9783319144320
    • Number of Pages: 80
    • Dimensions: 9.21 x 6.14 x 0.19 inches
 

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