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Dataset: Rare Event Classification in Multivariate Time Series (Pt. 2)

by Team ProcessMiner | Jan 5, 2020 | Case Study

Researchers are often looking for interesting real-world problems. One major roadblock they face is real-world data. Here we are trying to serve the research community by providing a real-world problem and a dataset. This dataset is created from the pulp-and-paper manufacturing industry. Paper sheets are not the strongest material.

Dataset: Rare Event Classification in Multivariate Time Series (Pt. 1)

by Team ProcessMiner | Jan 5, 2020 | Case Study

A real-world dataset is provided from the pulp-and-paper manufacturing industry. The dataset comes from a multivariate time series process. The data contains a rare event of paper break that commonly occurs in the industry. The data contains sensor readings at regular time-intervals (x’s) and the event label (y).

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