Causal discovery in machine learning: Theories and applications

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2021-01-01 DOI:10.3934/JDG.2021008

Ana Rita Nogueira, J. Gama, C. Ferreira

引用次数: 19

Abstract

Determining the cause of a particular event has been a case of study for several researchers over the years. Finding out why an event happens (its cause) means that, for example, if we remove the cause from the equation, we can stop the effect from happening or if we replicate it, we can create the subsequent effect. Causality can be seen as a mean of predicting the future, based on information about past events, and with that, prevent or alter future outcomes. This temporal notion of past and future is often one of the critical points in discovering the causes of a given event. The purpose of this survey is to present a cross-sectional view of causal discovery domain, with an emphasis in the machine learning/data mining area.

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机器学习中的因果发现:理论与应用

多年来，确定特定事件的原因一直是几位研究人员研究的一个案例。找出一个事件发生的原因(它的原因)意味着，例如，如果我们从等式中去掉原因，我们可以阻止结果的发生，或者如果我们复制它，我们可以创造后续的结果。因果关系可以被看作是基于过去事件的信息预测未来的一种手段，并以此来预防或改变未来的结果。这种过去和未来的时间概念常常是发现某一特定事件的原因的关键点之一。本调查的目的是呈现因果发现领域的横截面视图，重点是机器学习/数据挖掘领域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.