Apparatus, system, and method for detecting activities and anomalies in time series data
作者： Alireza Vahdatpour , Majid Sarrafzadeh
DOI:
关键词: Algorithm 、 Interval (graph theory) 、 Mathematics 、 Structure (category theory) 、 Time series
摘要: Activities and abnormalities in activities are detected by: (1) receiving data corresponding to measurements of an activity occurring during a time interval; (2) determining plurality primitives associated with the data, wherein each represents characteristic pattern portion (3) derive structure relating first subset that correlated time; (4) based on structure, classify second as abnormal instance bodily activity.
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