Name: Practical Approaches to Causal Relationship Exploration (Springerbriefs in Electrical and Computer Engineering) (en Inglés)
SKU: 49472795
Price: 54.22 USD
Availability: InStock
Author: Jiuyong Li

portada Practical Approaches to Causal Relationship Exploration (Springerbriefs in Electrical and Computer Engineering) (en Inglés)

Practical Approaches to Causal Relationship Exploration (Springerbriefs in Electrical and Computer Engineering) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Jiuyong Li

Año

2015

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9783319144320

N° edición

2015

Categorías

Inteligencia artificial

Practical Approaches to Causal Relationship Exploration (Springerbriefs in Electrical and Computer Engineering) (en Inglés)

Jiuyong Li (Autor) · Springer · Tapa Blanda

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Reseña del libro "Practical Approaches to Causal Relationship Exploration (Springerbriefs in Electrical and Computer Engineering) (en Inglés)"

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.