Time-Series Classification
Time-series classification is a technique of machine learning that can be used for the classification of data that is collected over time. The data is represented as a sequence of values that are measured at regular intervals. Time-series classification can be applied to a wide range of problems such as predicting the weather, detecting anomalies in financial data, or recognising human activities.
Applications of Time-Series Classification
Time-series classification has many applications in the real world, some of which are as follows: