模式识别技术在社会科学中的应用

M. S. Nezhad
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引用次数: 0

摘要

模式识别是机器学习的一个分支,专注于识别数据中的模式和规律,尽管在某些情况下它被认为几乎是机器学习的同义词。模式识别算法可以有效地应用于分析从社会中获得的大数据,以预测未来可能出现的混乱,或者识别社会或改变公共政策所需要的变化。这篇技术笔记回顾了社会上的一些模式识别方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of Pattern Recognition Techniques in Social Science
Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data, although it is in some cases considered to be nearly synonymous with machine learning. Pattern recognition algorithms can be effectively applied for analysis of big data obtained from society to predict possible chaos in future or to identify required changes needed for society or changing the public policies. This technical note reviews some method of pattern recognition in society.
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