AUTOMATIC TIME INTERVAL METADATA DETERMINATION FOR BUSINESS INTELLIGENCE AND PREDICTIVE ANALYTICS

摘要

Techniques are described for automatic interval metadata determination for intermittent time series data. In one example, a method for determining intermittent time series interval metadata includes detecting one or more time variables in a time series data set. The method further includes determining whether the one or more time variables are intermittently regular. The method further includes determining one or more respective time intervals for the one or more time variables. The method further includes determining the parameters of intermittency for the one or more time variables. The method further includes generating an output comprising information about the one or more time variables based on the one or more respective time intervals and the parameters of intermittency for the time variable.

主权项

1. A method comprising:
detecting, with one or more processing devices, one or more time variables in a time series data set; determining, with the one or more processing devices, whether the one or more time variables are intermittently regular; determining, with the one or more processing devices, one or more respective time intervals for the one or more time variables; determining, with the one or more processing devices, parameters of intermittency for the one or more time variables; and generating, with the one or more processing devices, an output comprising information about the one or more time variables based on the one or more respective time intervals and the parameters of intermittency for the one or more time variables.