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US Patent 9396444 Predictive analytics with forecasting model selection

Patent 9396444 was granted and assigned to Adobe Inc. on July, 2016 by the United States Patent and Trademark Office.

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Current Assignee
Adobe Inc.
Adobe Inc.
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9396444
Patent Inventor Names
John Bates0
Date of Patent
July 19, 2016
Patent Application Number
13335641
Date Filed
December 22, 2011
Patent Citations Received
‌
US Patent 11769426 Systems and methods for creating driving challenges
Patent Primary Examiner
‌
Kamini S Shah
Patent abstract

Methods and apparatus for predicting network activity with forecasting model selection are disclosed. In one embodiment a network analytics forecasting model with a preferred model error measurement is selected from among a set of model error measurements for a set of network analytics forecasting models. The selecting includes, for each of a set of network analytics forecasting models, calculating a set of predicted network analytics metric values corresponding to individual ones of a set of actual network analytics metric values in a network analytics metrics data set, comparing individual ones of the set of predicted network analytics metric values to corresponding ones of the set of actual network analytics metric values, and generating a model error measurement reflecting the comparing. Future network analytics metric values are predicted using the network analytics forecasting model with the preferred model error measurement.

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