Method and system for acquiring multi-dimensional personnel relationship and event association
The invention provides a method for acquiring multi-dimensional personnel relationship and event association. The method comprises the following steps: acquiring information data of a target prisonerfrom public security supervision big data; extracting personnel with event association or relative as...
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| creator | SHI ZHENXUAN CHEN CHAOXUE MA YONGRONG CHEN HUALANG |
| description | The invention provides a method for acquiring multi-dimensional personnel relationship and event association. The method comprises the following steps: acquiring information data of a target prisonerfrom public security supervision big data; extracting personnel with event association or relative association with the target prisoner from the information data of the target prisoner to create a personnel relationship model, and creating an event association model according to the event and personnel relationship; and according to the created personnel relationship model or event association model, setting an early warning value for the associated personnel or event, and carrying out early warning on the personnel or event exceeding the early warning value. The method and system have the advantages that multi-dimensional comprehensive analysis can be performed on the target prisoner, and various potential relationships hidden behind the target prisoner are deeply mined, so that a more accurate early warning func |
| format | Patent |
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The method comprises the following steps: acquiring information data of a target prisonerfrom public security supervision big data; extracting personnel with event association or relative association with the target prisoner from the information data of the target prisoner to create a personnel relationship model, and creating an event association model according to the event and personnel relationship; and according to the created personnel relationship model or event association model, setting an early warning value for the associated personnel or event, and carrying out early warning on the personnel or event exceeding the early warning value. The method and system have the advantages that multi-dimensional comprehensive analysis can be performed on the target prisoner, and various potential relationships hidden behind the target prisoner are deeply mined, so that a more accurate early warning func</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200204&DB=EPODOC&CC=CN&NR=110751310A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200204&DB=EPODOC&CC=CN&NR=110751310A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SHI ZHENXUAN</creatorcontrib><creatorcontrib>CHEN CHAOXUE</creatorcontrib><creatorcontrib>MA YONGRONG</creatorcontrib><creatorcontrib>CHEN HUALANG</creatorcontrib><title>Method and system for acquiring multi-dimensional personnel relationship and event association</title><description>The invention provides a method for acquiring multi-dimensional personnel relationship and event association. The method comprises the following steps: acquiring information data of a target prisonerfrom public security supervision big data; extracting personnel with event association or relative association with the target prisoner from the information data of the target prisoner to create a personnel relationship model, and creating an event association model according to the event and personnel relationship; and according to the created personnel relationship model or event association model, setting an early warning value for the associated personnel or event, and carrying out early warning on the personnel or event exceeding the early warning value. 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The method comprises the following steps: acquiring information data of a target prisonerfrom public security supervision big data; extracting personnel with event association or relative association with the target prisoner from the information data of the target prisoner to create a personnel relationship model, and creating an event association model according to the event and personnel relationship; and according to the created personnel relationship model or event association model, setting an early warning value for the associated personnel or event, and carrying out early warning on the personnel or event exceeding the early warning value. The method and system have the advantages that multi-dimensional comprehensive analysis can be performed on the target prisoner, and various potential relationships hidden behind the target prisoner are deeply mined, so that a more accurate early warning func</abstract><oa>free_for_read</oa></addata></record> |
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| language | chi ; eng |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Method and system for acquiring multi-dimensional personnel relationship and event association |
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