Data set creation with crowd-based reinforcement

a data set and crowd-based technology, applied in the field of data set creation with crowd-based reinforcement, can solve problems such as lateral understanding of varian

Inactive Publication Date: 2021-03-25
QOMPLX INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0005]Accordingly, the inventor has developed and reduced to practice a system and method for creation and expansion of high quality data set collections for training of machine learning algorithms via crowdsourced curation. One embodiment utilizes a data marketplace which incentivizes data gatherers, publishers, and users to contribute to the creation of a vast resource of reliable dat

Problems solved by technology

Additionally, real-world data offers only one historical view and provides n

Method used

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  • Data set creation with crowd-based reinforcement
  • Data set creation with crowd-based reinforcement
  • Data set creation with crowd-based reinforcement

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Embodiment Construction

[0023]The inventor has conceived, and reduced to practice, a system and method for creation and expansion of high quality data set collections for training of machine learning algorithms via crowdsourced curation. One embodiment according to the inventor employs a data marketplace which incentivizes data gatherers, publishers, and users to contribute to an expeditiously growing and vast resource of reliable data sets. To accomplish this, data is automatically ingested from disparate sources and autonomously checked for quality, provenance, and security and subsequently given a data reputation score. The score is compared against a numerical threshold and determines whether the data is sufficiently reputable and if so, stores the data in the marketplace. A queue holds data that falls below the reputation threshold where qualified individuals known as data stewards, receive compensation to manually curate the data. Once curated the now reputable data is stored for consumption in the m...

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Abstract

A system and method for creation and expansion of high quality data set collections for training of machine learning algorithms via crowdsourced curation that utilizes a data marketplace which incentivizes data gatherers, publishers, and users to contribute to the creation of a vast resource of reliable data set collections. Data is automatically ingested from disparate sources and autonomously checked for data quality, provenance, and cyber-risks and subsequently given a reputation score. Data stewards curate a queue of low scoring real data as well as synthetically generated data. All reputable data is stored for user consumption and further iterative data generation.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]ApplicationNo.Date FiledTitleCurrentHerewithCYBERSECURITY PROFILING ANDapplicationRATING USING ACTIVE AND PASSIVEEXTERNAL RECONNAISSANCEIs a continuation-in-part of:15 / 931,534May 13, 2020SECURE POLICY-CONTROLLEDPROCESSING AND AUDITING ONREGULATED DATA SETSwhich is a continuation-in-part of:16 / 777,270Jan. 30, 2020CYBERSECURITY PROFILING ANDRATING USING ACTIVE AND PASSIVEEXTERNAL RECONNAISSANCEwhich is a continuation-in-part of:16 / 720,383Dec. 19, 2019RATING ORGANIZATIONCYBERSECURITY USING ACTIVE ANDPASSIVE EXTERNAL RECONNAISSANCEwhich is a continuation of:15 / 823,363Nov. 27, 2017RATING ORGANIZATIONPatentIssue DateCYBERSECURITY USING ACTIVE AND10,560,483Feb. 11, 2020PASSIVE EXTERNAL RECONNAISSANCEwhich is a continuation-in-part of:15 / 725,274Oct. 4, 2017APPLICATION OF ADVANCEDPatentIssue DateCYBERSECURITY THREAT MITIGATION10,609,079Mar. 31, 2020TO ROGUE DEVICES, PRIVILEGEESCALATION, AND RISK-BASEDVULNERABILITY AND PATCHMANAGEMENTwhich is a con...

Claims

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Application Information

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IPC IPC(8): H04L29/06G06F16/951G06F16/2458
CPCH04L63/20H04L63/1425H04L63/1441G06F16/2477G06F16/951G06N3/045
Inventor CRABTREE, JASONSELLERS, ANDREW
Owner QOMPLX INC
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