User Behavior Traffic Analysis Using a Simplified Memory-Prediction Framework

Published on Jan 1, 2022in Cmc-computers Materials & Continua3.772
· DOI :10.32604/CMC.2022.019847
Rahmat Budiarto13
Estimated H-index: 13
,
Ahmad A. Alqarni + 3 AuthorsDeris Stiawan10
Estimated H-index: 10
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Abstract
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Oct 12, 2015 in ICMLA (International Conference on Machine Learning and Applications)
#1Alexander LavinH-Index: 7
#2Subutai AhmadH-Index: 21
Much of the world's data is streaming, time-series data, where anomalies give significant information in critical situations, examples abound in domains such as finance, IT, security, medical, and energy. Yet detecting anomalies in streaming data is a difficult task, requiring detectors to process data in real-time, not batches, and learn while simultaneously making predictions. There are no benchmarks to adequately test and score the efficacy of real-time anomaly detectors. Here we propose the ...
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