Goto

Collaborating Authors

 rare event classification


Dataset: Rare Event Classification in Multivariate Time Series

Ranjan, Chitta, Mustonen, Markku, Paynabar, Kamran, Pourak, Karim

arXiv.org Machine Learning

A real-world dataset is provided from a 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). The primary purpose of the data is thought to be building a classification model for early prediction of the rare event. However, it can also be used for multivariate time series data exploration and building other supervised and unsupervised models.

  Country: North America > United States > Georgia > Fulton County > Atlanta (0.05)
  Genre: Research Report (0.40)
  Industry: Materials > Paper & Forest Products > Paper Products (0.37)