6 Time Series Predictive Tasks You Should Know About

How different problems arise in time series and the challenges associated with them

Photo by Andrew Neel on Unsplash

In this post, I will describe 6 predictive tasks that can be put together with time series data sets. Each of these tasks have lots of relevant applications. So, if you are a data scientist working with time series data, these may be helpful to extract value from your data. By predictive I mean tasks where the goal is to predict a future state of the time series, or a current state which is not easily observable.

Here’s a brief outline for each task:

1. Time Series Forecasting: Predicting the future values of a time series;
2. Spatio-temporal Forecasting: Similar to time series forecasting but for several locations or trajectories;
3. Exceedance Forecasting: Forecasting whether the upcoming values will exceed a pre-defined threshold;
4. Anomaly Detection (a.k.a. Activity Monitoring): The timely detection of rare but disruptive events requiring action;
5. Time Series Classification: Classifying time series into predefined classes;
6. Survival Analysis: Predicting the time until an event of interest occurs.

1. Time Series…