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Related Questions
- What are the common statistical methods used to detect anomalies in streaming data, such as univariate or multivariate analysis?
- How can organizations implement real-time anomaly detection using statistical methods, and what are the challenges associated with it?
- Can you explain the concept of Hotelling's T-Squared statistic and its application in detecting anomalies in streaming data?
- How do organizations use machine learning algorithms, such as isolation forest or one-class SVM, to detect anomalies in streaming data?
- What are the key factors to consider when selecting a statistical method for anomaly detection in streaming data, such as data distribution or variability?
- Can organizations use statistical methods to detect anomalies in streaming data that is not normally distributed, and if so, what techniques are used?
- How can organizations use online machine learning algorithms to update models in real-time as new data arrives, to improve anomaly detection in streaming data?
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