Invention Grant
- Patent Title: Systems and methods of windowing time series data for pattern detection
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Application No.: US16451607Application Date: 2019-06-25
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Publication No.: US11748654B2Publication Date: 2023-09-05
- Inventor: Andrew Franklin
- Applicant: Nasdaq, Inc.
- Applicant Address: US NY New York
- Assignee: NASDAQ, INC.
- Current Assignee: NASDAQ, INC.
- Current Assignee Address: US NY New York
- Agency: Nixon & Vanderhye P.C.
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F18/20 ; G06F18/214

Abstract:
A data analysis computer system is provided that receives a timeseries dataset and generates implied data from the dataset. The dataset is further vectorized to reduce the dimensionality of the data. Users provide input to identify windows of data that either positively or negatively correlate to instances of a given type of occurrence within the data. The user defined windows are converted to fixed sized windows and a machine learning algorithm constructs a model from the data. The model is used to predict instances of the given type of occurrence in newly received data. Validation of the predications may be performed.
Public/Granted literature
- US20190392255A1 SYSTEMS AND METHODS OF WINDOWING TIME SERIES DATA FOR PATTERN DETECTION Public/Granted day:2019-12-26
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