qingsongedu/timeseries-tutorial-kdd-2022
KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
This tutorial provides a comprehensive guide to analyzing time series data, which often exhibits complex patterns, noise, and large volumes in real-world business and operational settings. It covers methods for understanding historical data, predicting future trends, and identifying unusual events. Operations engineers, business intelligence analysts, and AI solution developers working with data that changes over time would find this valuable.
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Use this if you need to understand, forecast, or detect anomalies in time series data that is often messy, noisy, and large-scale, such as server metrics, e-commerce transactions, or IoT sensor readings.
Not ideal if your data is static, purely categorical, or if you are only interested in simple summary statistics without considering temporal dependencies.
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Mar 09, 2024
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