http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109063733-A

Outgoing Links

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_98d31ffb798b252a10c488c93e6f3d55
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-23213
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-21355
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
filingDate 2018-06-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_bf4f5225df51c914d222a944f08f518d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4a999463e777dc7ca6929b7c4c388c05
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5d7c06834edae36e4c15aeee9bc281b8
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http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7a8fef02b1166e504337421be0094a6c
publicationDate 2018-12-21-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-109063733-A
titleOfInvention An outlier detection method based on two-parameter outlier factors
abstract The invention discloses an outlier point detection method based on a double-parameter outlier factor, which is specifically implemented according to the following steps: Step 1, given a spatial distribution data set χ={X 1 , X 2 ,...X N } , calculate the local density of each data point Xi in the data set, and arrange the local density of each data point Xi in descending order to form a density set; step 2, calculate each data set in the data set according to the density set in step 1 The global distance of point X i ; step 3, calculate the density distance double-parameter outlier factor DDPOS(X i ); step 4, judge whether it is an outlier point, if the value of DDPOS(X i ) is equal to 1 or converges to 1, then Point Xi is a normal data point, otherwise it is judged as an outlier. The purpose of the present invention is to provide an outlier point detection method based on a two-parameter outlier factor, propose a new outlier factor and use the proposed outlier factor to detect outliers with high detection accuracy.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111523595-A
priorityDate 2018-06-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415713197

Total number of triples: 20.