Pattern detection in time-series data

Patent №

US 11,620,528

Granted

2023-04-04

Filed 2019

Owner

CIENA CORPORATION

Lab

AI components

5

ml · nlp · vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16430808

Systems and methods for detecting patterns in data from a time-series are provided. In one implementation, a method for pattern detection includes obtaining data in a time-series and creating one-dimensional or multi-dimensional windows from the time-series data. The one-dimensional or multi-dimensional windows are created either independently or jointly with the time-series. The method also includes training a deep neural network with the one-dimensional or multi-dimensional windows utilizing historical and/or simulated data to provide a neural network model. Also, the method includes processing ongoing data with the neural network model to detect one or more patterns of a particular category in the ongoing data, and localizing the one or more patterns in time.

Machine learningNatural languageVisionPlanningAI hardwareG06N 3/084G06F 11/3466G06F 17/142G06F 17/15G06F 18/24G06F 18/2433G06N 3/04G06N 3/045+10 more

AI classification

Machine learning1.00
Vision1.00
Planning0.99
AI hardware0.98
Natural language0.85
Knowledge representation0.23
Evolutionary computation0.01
Speech0.00

Ownership

CIENA CORPORATION

assignment · 493600724

Assignors

RYAN, SID, DJUKIC, PETAR, MORRIS, TODD, SHEW, STEPHEN

On an employer assignment, the assignors are typically the inventors.

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