Customs enterprise risk assessment method based on data mining

Customs enterprise risk assessment method based on data mining

The invention discloses a customs enterprise risk assessment method based on data mining, and the method comprises the steps: collecting customs enterprise information as a metadata set, carrying out the preprocessing of the metadata set, dividing the metadata set into structured data and unstructur...

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Bibliographische Detailangaben
Hauptverfasser: ZHANG YUKE, CHEN SI, ZHOU TUNAN, ZHAO CHUANBO, ZHAO MING, LI YAO, HUANG CAN, HAN NAN, YOU ZEQING, JIANG ZIHAN, YU HUA, QIAO SHAOJIE
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
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
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Beschreibung
Zusammenfassung:The invention discloses a customs enterprise risk assessment method based on data mining, and the method comprises the steps: collecting customs enterprise information as a metadata set, carrying out the preprocessing of the metadata set, dividing the metadata set into structured data and unstructured data, and storing the structured data and unstructured data; establishing a customs enterprise quality inspection database by using the obtained structured data; key information is extracted from unstructured data by using an enterprise quality inspection information named entity recognition model, and a customs enterprise quality inspection database is further expanded; retrieving a retrieval result obtained by retrieving the customs enterprise name based on the customs enterprise quality inspection database, and establishing a customs enterprise risk assessment model by using the retrieval result; taking data in the customs enterprise quality inspection database as a training sample for updating parameters of