The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 21, 2024
Filed:
Oct. 15, 2020
Oracle International Corporation, Redwood Shores, CA (US);
Nikan Chavoshi, Redwood City, CA (US);
Anatoly Yakovlev, Hayward, CA (US);
Hesam Fathi Moghadam, Sunnyvale, CA (US);
Venkatanathan Varadarajan, Seattle, WA (US);
Sandeep Agrawal, San Jose, CA (US);
Ali Moharrer, Belmont, CA (US);
Jingxiao Cai, Fremont, CA (US);
Sanjay Jinturkar, Santa Clara, CA (US);
Nipun Agarwal, Saratoga, CA (US);
Oracle International Corporation, Redwood Shores, CA (US);
Abstract
Herein, a computer generates and evaluates many preprocessor configurations for a window preprocessor that transforms a training timeseries dataset for an ML model. With each preprocessor configuration, the window preprocessor is configured. The window preprocessor then converts the training timeseries dataset into a configuration-specific point-based dataset that is based on the preprocessor configuration. The ML model is trained based on the configuration-specific point-based dataset to calculate a score for the preprocessor configuration. Based on the scores of the many preprocessor configurations, an optimal preprocessor configuration is selected for finally configuring the window preprocessor, after which, the window preprocessor can optimally transform a new timeseries dataset such as in an offline or online production environment such as for real-time processing of a live streaming timeseries.