Abstract: Techniques that facilitate machine learning using multi-dimensional time series data are provided. In one example, a system includes a snapshot component and a machine learning component. The snapshot component generates a first sequence of multi-dimensional time series data and a second sequence of multi-dimensional time series data from multi-dimensional time series data associated with at least two different data types generated by a data system over a consecutive period of time. The machine learning component that analyzes the first sequence of multi-dimensional time series data and the second sequence of multi-dimensional time series data using a convolutional neural network system to predict an event associated with the multi-dimensional time series data.
Type:
Grant
Filed:
December 13, 2017
Date of Patent:
January 19, 2021
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventors:
Wei Sun, Roman Vaculin, Jinfeng Yi, Nianjun Zhou