A Data Mining Method Using Deep Learning for Anomaly Detection in Cloud Computing Environment

Aiming at problems such as slow training speed, poor prediction effect, and unstable detection results of traditional anomaly detection algorithms, a data mining method for anomaly detection based on the deep variational dimensionality reduction model and MapReduce (DMAD-DVDMR) in cloud computing en...

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Veröffentlicht in:	Mathematical problems in engineering 2020, Vol.2020 (2020), p.1-11
Hauptverfasser:	Zhang, Qi, Guo, Sihua, Liu, Jiaquan, Gao, Jin, Wang, Xinyang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anomalies Cloud computing Data mining Data points Data processing Datasets Deep learning Efficiency Machine learning Methods Neural networks Reduction Support vector machines Variables
Online-Zugang:	Volltext
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