Deep learning techniques for anomaly detection in time series data using transformer

Due to the growing demand and applications in many fields producing massive amounts of high dimensional data, anomaly detection is becoming increasingly important. The correlation between sequences makes multivariate anomalies more difficult on top of univariate anomalies. With the proliferation of...

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Bibliographic Details
Main Author: Chan, Rachel Si Min
Other Authors: Yeo Chai Kiat
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/162811
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Institution: Nanyang Technological University
Language: English

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