http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-104809226-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-30 |
| filingDate | 2015-05-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2018-01-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2018-01-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-104809226-B |
| titleOfInvention | A kind of method of the uneven multivariate time series data of early stage classification |
| abstract | The invention discloses a kind of method of the uneven multivariate time series data of classification of early stage.First, for data scale imbalance problem between class, according to disequilibrium ratio, major class category dataset lack sampling is divided into multiple subsets, is combined with group categorical data form more sub- training sets respectively.Secondly, the extraction and selection of core feature are carried out to each sub- training set, and with the rule-based sub-classifier of core feature construction.Wherein, in order to solve the data scale imbalance problem of sub- concept in class, feature selection process is realized using cluster, to ensure the diversity of core feature.Finally, based on each sub-classifier, with sub-classifier to training the classifying quality of intensive data to ask for weight, integrated classifier is built.The grader of the present invention can be directed to the Multivariate Time Series classification problem of unbalanced dataset, reach higher accuracy rate and preferable early stage degree. |
| priorityDate | 2015-05-07-04:00^^<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/compound/CID25572 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415713197 |
Total number of triples: 11.