http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111415192-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_63fc6bda8523c8db4e2eb452996b90ba
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q30-0202
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24147
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-23213
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q30-02
filingDate 2020-02-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_333d58f4b82d488586ada225c4166cd3
publicationDate 2020-07-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-111415192-A
titleOfInvention Prediction method of user water use properties based on big data
abstract The invention relates to the technical field of big data application, and discloses a method for predicting user water consumption properties based on big data, comprising the steps of: S1: preprocessing historical water consumption data of users; S2: preprocessing historical water consumption data Carry out time series decomposition to obtain the water consumption cycle characteristics of different users; S3: divide users into categories by clustering the user's water consumption cycle characteristics, and then obtain the central cycle characteristics of each category of users' water consumption to obtain each category. Standard periodic characteristics of water use properties; S4: Taking the periodic characteristics of the predicted user as a test tuple, compare the similarity between the water consumption periodic characteristics of the users in the test tuple and the standard periodic characteristics of different water consumption properties, so as to predict the water consumption of users nature. The present invention realizes a more accurate prediction of the user's water use properties.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113205368-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113205368-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113551296-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112434021-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113551296-A
priorityDate 2020-02-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109063885-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2014129291-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-104537048-A
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962

Total number of triples: 26.