http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113064873-B
Outgoing Links
Predicate | Object |
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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 |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID458397426 |
Total number of triples: 16.