Big data exception mining method and system for incomplete network and storage medium

The invention discloses a big data exception mining method and system for an incomplete network and a storage medium, and the method comprises the steps: obtaining exception data features according toa big data exception mining rule in the incomplete network, and constructing a three-layer deep fill...

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Bibliographische Detailangaben
Hauptverfasser: LUO QINGJIA, TANG HAO, PU YANG, ZHANG YUAN, ZHANG ZONGFU
Format: Patent
Sprache:chi ; eng
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Beschreibung
Zusammenfassung:The invention discloses a big data exception mining method and system for an incomplete network and a storage medium, and the method comprises the steps: obtaining exception data features according toa big data exception mining rule in the incomplete network, and constructing a three-layer deep filling network model; establishing an abnormal data analysis model according to data information in the incomplete network and the three-layer deep filling network model; constructing an improved genetic algorithm model according to the abnormal data analysis model; constructing a complete network bigdata information feature model according to the improved genetic algorithm model and the abnormal data features; enabling the complete network big data information feature model to analyze abnormal data features and realizes incomplete network big data anomaly mining by optimizing a hybridization operator and a mutation operator; the invention has relatively high abnormal data mining performanceand relatively good converg