In time series datasets, which method can help in detecting outliers that break the typical temporal pattern?
- Z-Score Outlier Detection
- Seasonal Decomposition of Time Series (STL)
- K-Means Clustering
- Chi-Square Test
Seasonal Decomposition of Time Series (STL) is a method for breaking down time series data into its seasonal, trend, and residual components. By analyzing the residuals, one can detect outliers that do not adhere to the typical temporal patterns in the data.
Loading...
Related Quiz
- Which type of data can often be represented as a combination of structured tables with metadata or annotations?
- Which algorithm is commonly used for predicting a continuous target variable?
- In which data visualization tool can you create interactive dashboards and stories for better business insights?
- Your organization wants to move away from traditional batch processing of data and is looking for a tool that can offer in-memory processing for faster analytics. Which Big Data framework would you recommend?
- For real-time object detection in images or videos, the _______ algorithm is widely adopted.