An Approach for Anomaly Detection & Prediction in Time-series Telecommunication Data
Author:
Affiliation:
1. MKSSS’s Cummins College of Engineering, Pune,Department of Computer Engineering,Pune,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10113898/10113899/10114052.pdf?arnumber=10114052
Reference15 articles.
1. Machine Learning Based Anomaly Detection as an Emerging Trend in Telecommunications;djordjevi?;Management Journal of Sustainable Business and Management Solutions in Emerging Economies,2020
2. Detecting Anomalies in Mobile Telecommunication Networks Using a Graph Based Approach;chaparro;FLAIRS (2015),0
3. Stock Market Price Prediction Using LSTM RNN
4. Unsupervised Anomaly Detection and Root Cause Analysis in Mobile Networks
5. A Review of Time-Series Anomaly Detection Techniques: A Step to Future Perspectives
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