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Group Deviation Detection Methods: A Survey

机译：组偏差检测方法：调查

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摘要

Pointwise anomaly detection and change detection focus on the study of individual data instances; however, an emerging area of research involves groups or collections of observations. From applications of high-energy particle physics to health care collusion, group deviation detection techniques result in novel research discoveries, mitigation of risks, prevention of malicious collaborative activities, and other interesting explanatory insights. In particular, static group anomaly detection is the process of identifying groups that are not consistent with regular group patterns, while dynamic group change detection assesses significant differences in the state of a group over a period of time. Since both group anomaly detection and group change detection share fundamental ideas, this survey article provides a clearer and deeper understanding of group deviation detection research in static and dynamic situations.
机译：点状异常检测和变化检测专注于单个数据实例的研究；然而，一个新兴的研究领域涉及观察的团体或集合。从高能粒子物理学到医疗保健合谋的应用，群体偏差检测技术带来了新颖的研究发现，风险降低，恶意协作活动的预防以及其他有趣的解释见解。特别是，静态组异常检测是识别与常规组模式不一致的组的过程，而动态组更改检测将评估一段时间内组状态的显着差异。由于组异常检测和组更改检测都具有基本思想，因此本文将对静态和动态情况下的组偏差检测研究提供更清晰，更深入的理解。

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