http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113064873-B

Outgoing Links

Predicate Object
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-2465
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F11-3065
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-1815
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-2474
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F11-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-18
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-2458
filingDate 2021-04-15-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2022-11-15-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2022-11-15-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-113064873-B
titleOfInvention A Log Anomaly Detection Method with High Recall Rate
abstract The invention relates to a log anomaly detection method with a high recall rate, which traverses each known log pattern, makes the same judgment on each known log pattern, extracts the log pattern quantity sequence, and extracts the unified log pattern quantity sequence , based on the relationship among single log anomalies, log sequence anomalies and invariant anomalies, simultaneously detect single log anomalies, log sequence anomalies and invariant anomalies. Compared with the prior art, the present invention has the advantages of greatly improving the log recall rate and accuracy rate, improving the interpretability of detection results, and the like.
priorityDate 2021-04-15-04:00^^<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/SID458397426

Total number of triples: 16.