DAMO-DI-ML/KDD2022-Tutorial-Time-Series
KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
This project provides a comprehensive guide to analyzing time series data that exhibits complex patterns like trends, seasonality, outliers, and noise, helping practitioners make sense of real-world datasets. It takes raw time series data and explains how to process it for tasks like forecasting future values, detecting anomalies, or pinpointing the cause of system faults. This is ideal for professionals in areas like IT operations, e-commerce, or the Artificial Intelligence of Things (AIoT) who need to derive robust insights from their operational data.
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Use this if you need to understand and apply advanced techniques for forecasting, anomaly detection, or fault localization on large, noisy time series datasets in an industrial setting.
Not ideal if you are looking for a simple, out-of-the-box software solution or a foundational introduction to basic time series concepts.
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Sep 22, 2023
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