Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_421cadb30fc0074fe61126eb980d19d6 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H40-67 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2562-0219 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4842 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-112 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7275 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-1122 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0077 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-20 |
filingDate |
2020-06-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_91dea395dc2e5c44b9187dd26e1df322 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6b17aba1065529509db99374e8a06389 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0e9633c0848a5f9d52ce22b9a27d831a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_073dee1b7fd208f5a12d0f1b9499b41b http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b7c75cca6908ba30730025ea9cbeff9b http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a8151a7f6a83b2555289b54fc827fea6 |
publicationDate |
2022-05-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
EP-4002232-A1 |
titleOfInvention |
Data analysis device, data analysis method, and data analysis program |
abstract |
An object of the invention is to harmonize prediction accuracy and an analysis time of an ensemble model. Therefore, when performing data analysis using an ensemble model 300 that makes an inference by integrating inferences by first to n-th models, an i-th model (1 ≤ i ≤ n) constituting the ensemble model 300 is selected from an i-th model group of the model data, at least one model group of the first to n-th model groups includes a plurality of models, and the first to n-th models capable of constituting an ensemble model satisfying a performance requirement for data analysis and a constraint requirement for time required for the data analysis are selected from the first to n-th model groups 301 to 303. |
priorityDate |
2019-07-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |