A Novel Method of Applying Big Data for Analysis Model of Library User Behavior

Abstract

A large number of library user behaviour data generated in real time in the era of big data artificial intelligence requires more efficient and scientific analysis technology to help libraries improve the level and quality of personalized services, while the increasingly popular campus Internet of Things system needs to be more Active network security precautions, proactively detect unreliable abnormal behavior of the network and feedback users to improve security awareness. Explores a big data analysis model using traditional data mining and classification learning, which combines user personality analysis and abnormal