Design and implementation of abnormal data detection system based on Web
Aiming at the complexity of data sources in big data processing and the existence of more similar problems in the cleaning process,an anomaly data detection system is developed.The system uses the popular Python programming language and lightweight Flask Web framework,which can simplify the repetitive processes in the data processing work,greatly reduce the work-load of data analysis,improve work efficiency,and complete the detection of anomalies in the data using the built-in anomaly detec-tion algorithms and custom algorithms uploaded by the user.
NETL
NSTL
万方数据
维普
