http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20220066221-A

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filingDate 2019-08-13-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5f8526c543c5eb3e246a076b01ec8d48
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publicationDate 2022-05-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber KR-20220066221-A
titleOfInvention A machine learning system and method for determining the confidence level of a personal information survey result.
abstract Disclosed herein is a privacy management platform for scanning any number of data sources to provide users with visibility into stored personal information, risks associated with storing such information, and/or usage activity associated with such information. The platform may correlate the findings of a privacy survey to specific data subjects and may utilize machine learning models to classify findings into those corresponding to specific privacy attributes to provide an indexed inventory across multiple data sources.
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