Paper: State discovery and prediction from multivariate sensor data

• A data analysis workflow to extract states from high-dimensional sensor data set describing the operation of a data center.
• There is a paper describing the results: Olli-Pekka Rinta-Koski, Miki Sirola, Le Ngu Nguyen, Jaakko Hollmén. State discovery and prediction from multivariate sensor data. ECML PKDD Workshop – Analytics and Learning from Temporal Data, Springer Lecture Notes in Artificial Intelligence.

Input(s):

• A data describing data center operation.

Main feature(s):

• Data analysis process extracting operational states of the data center and then predicting future states.

Output(s):

• Definition of operational states
• Prediction of future states

This is a publication and a defined workflow.

Data analysts interested in analyzing data center operation.

The results may be with the appropriate citation and acknowledgement of the original authors.