http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2021534483-A
Outgoing Links
Predicate | Object |
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classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N7-01 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2178 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F21-6245 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-22 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-025 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-10 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-35 |
filingDate | 2019-08-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2021-12-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | JP-2021534483-A |
titleOfInvention | Machine learning systems and methods to determine the reliability level of personal information survey results |
abstract | Privacy to scan any number of data sources to visualize stored personal information, risks associated with the storage of such personal information, and / or usage activities related to such information to the user. The management platform is disclosed. The platform may correlate personal information results with specific data subjects and uses machine learning models to classify the results as corresponding to specific personal information attributes and index across multiple data sources. You may provide the inventory that has been done. |
priorityDate | 2018-08-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Predicate | Subject |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415828001 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID130640 |
Total number of triples: 20.