MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern
نویسندگان
چکیده
منابع مشابه
Pattern Recognition in Multivariate Time Series
Nowadays computer scientists are faced with fast growing and permanently evolving data, which are represented as observations made sequentially in time. A common problem in the data mining community is the recognition of recurring patterns within temporal databases or streaming data. This dissertation proposal aims at developing and investigating efficient methods for the recognition of context...
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The temporal nature of data collected in a smart environment provides us with a better understanding of patterns over time. Detecting anomalies in such datasets is a complex and challenging task. To solve this problem, we suggest a solution using temporal relations. Temporal pattern discovery based on modified Allen’s temporal relations [5] has helped discover interesting patterns and relations...
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ژورنال
عنوان ژورنال: Complexity
سال: 2020
ISSN: 1099-0526,1076-2787
DOI: 10.1155/2020/8846608