http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102470712-B1
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-21 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-211 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L41-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L41-145 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L41-16 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L41-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 |
| filingDate | 2019-04-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-11-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-11-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | KR-102470712-B1 |
| titleOfInvention | Feature engineering orchestration method and apparatus |
| abstract | This application discloses feature engineering orchestration methods and apparatus. In this method, a first network device receives first indication information from a second network device, the first indication information including first method indication information and first data type indication information; The first network device, by using the method indicated by the first method indication information, performs feature extraction on the data indicated by the first data type indication information, obtains feature data, and removes the obtained feature data. 2 transmit to the network device; And the second network device performs model training based on the received feature data. In the foregoing method, since the first network device does not need to transmit a large amount of raw data to the second network device, the transmission burden is reduced, the transmission requirements for the transmission network are reduced, and the computational load of the second network device is reduced. Since it is shared, it helps to increase model training efficiency. |
| priorityDate | 2018-04-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419701332 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID22978774 |
Total number of triples: 21.