Detecting anomalies in sequential data augmented with new features
نویسندگان
چکیده
منابع مشابه
Detecting Anomalies in Sequential Data with Higher-order Networks
Amajor branch of anomaly detection methods rely on dynamic networks: raw sequential data is first converted to a series of networks, then critical change points are identified in the evolving network structure. However, existing approaches use the first-order network (FON) to represent the underlying raw data, which may lose important higher-order sequence patterns, making higher-order anomalie...
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ژورنال
عنوان ژورنال: Artificial Intelligence Review
سال: 2019
ISSN: 0269-2821,1573-7462
DOI: 10.1007/s10462-018-9671-x