Automated machine learning pipeline for timeseries datasets utilizing point-based algorithms

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 11989657
APP PUB NO 20220121955A1
SERIAL NO

17071285

Stats

ATTORNEY / AGENT: (SPONSORED)

Importance

Loading Importance Indicators... loading....

Abstract

See full text

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.

Loading the Abstract Image... loading....

First Claim

See full text

Family

Loading Family data... loading....

Patent Owner(s)

  • ORACLE INTERNATIONAL CORPORATION

International Classification(s)

  • [Classification Symbol]
  • [Patents Count]

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Agarwal, Nipun Saratoga, US 302 4894
Agrawal, Sandeep San Jose, US 17 206
Cai, Jingxiao Fremont, US 3 18
Chavoshi, Nikan Redwood City, US 6 50
Jinturkar, Sanjay Santa Clara, US 29 263
Moghadam, Hesam Fathi Sunnyvale, US 7 56
Moharrer, Ali Belmont, US 6 35
Varadarajan, Venkatanathan Seattle, US 20 184
Yakovlev, Anatoly Hayward, US 29 529

Cited Art Landscape

Load Citation

Patent Citation Ranking

Forward Cite Landscape

Load Citation

Maintenance Fees

Fee Large entity fee small entity fee micro entity fee due date
3.5 Year Payment $1600.00 $800.00 $400.00 Nov 21, 2027
7.5 Year Payment $3600.00 $1800.00 $900.00 Nov 21, 2031
11.5 Year Payment $7400.00 $3700.00 $1850.00 Nov 21, 2035
Fee Large entity fee small entity fee micro entity fee
Surcharge - 3.5 year - Late payment within 6 months $160.00 $80.00 $40.00
Surcharge - 7.5 year - Late payment within 6 months $160.00 $80.00 $40.00
Surcharge - 11.5 year - Late payment within 6 months $160.00 $80.00 $40.00
Surcharge after expiration - Late payment is unavoidable $700.00 $350.00 $175.00
Surcharge after expiration - Late payment is unintentional $1,640.00 $820.00 $410.00