• No results found

Adaptive Sampling and Statistical Inference for Anomaly Detection

N/A
N/A
Protected

Academic year: 2021

Share "Adaptive Sampling and Statistical Inference for Anomaly Detection"

Copied!
152
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1.1: The system monitoring model in the case of monitoring a data center.
Figure 1.4: The form of data at di fferent stages of the monitoring model using compression
Figure 1.10: Change in the sparsity level over time for the measurement of memory usage of a virtual machine in a data center.
Figure 2.1: (a) The overall system architecture hosting the Trade6 application which implements a stock-trading service that allows users to browse, buy, and sell stocks
+7

References

Related documents

Paediatricians, other healthcare professionals such as first-aid responders, public health officials, the media, school nurses, school staff and parents all need to be united in

Therefore, the Hamming distance of the best string in a population gives a rough estimate of the minimum number of generations needed to reach to the optimum string, when a

Standardization of herbal raw drugs include passport data of raw plant drugs, botanical authentification, microscopic & molecular examination, identification of

Even though much of expert problem solving in familiar domains relies on routine knowledge and skills, efficient flexible performance in new situations may require additional

At first for designing this system, the disease variables were discriminated and were at the patients' disposal as a questionnaire, and after gathering the relevant data

This result is partially a consequence of lower confidence when rating the friend and canonical individual as well as smaller mean absolute distances between those two individuals

This work reviews the epidemiology of community-acquired pneumonia (CAP) and evaluates the effectiveness of the 23-valent pneumococcal polysaccharide vaccine (PPV-23) in preventing