Abstract
Abstract. Because most schools have been using traditional methods to manage students, there is a lack of effective monitoring of students' behavioral problems. In order to solve this problem, this paper analyses the characteristics of big data in University campus, adopts K-Means algorithm, a traditional clustering analysis algorithm, and proposes an early warning system of College Students' behavior based on Internet of Things and big data environment under the mainstream Hadoop open source platform. The system excavates and analyses the potential connections in the massive data of these campuses, studies the characteristics of students' behavior, analyses the law of students' behavior, and clusters the categories of students' behavior. It can provide students, colleges, schools and logistics management departments with multi-dimensional behavior analysis and prediction, early warning and safety control of students' behavior, realize the informatization of students' management means, improve the scientific level of students' education management, and promote the construction of intelligent digital campus.
Highlights
IntroductionIn 2012, the United Nations issued the White Paper on Big Data, which elaborates on the coming of the big data era and its profound impact on economic and social development[1].In August 2015, the State Council promulgated the Notice of the Platform for Action to Promote the Development of Big Data, which has become the basic and forward-looking technology of our country and is the inherent need and inevitable choice for the country to implement the strategy of innovation-driven development[2].Relevant studies have found that about 20% of college students have psychological problems, of which 15% belong to general psychological problems and need psychological counselors and relatives and friends to provide psychological counseling.3.5% of the students have mental disorders and often suffer from emaciation, insomnia and restlessness. 1.5% of the students are psychotic and lose self-control ability
They cannot distinguish reality from hallucination [3].At present, most of the behavior management methods of school students in our country are propaganda, sermon and regular investigation. Their management methods only focus on qualitative analysis afterwards
Many colleges and universities use campus big data to carry out many applications for management and teacher-student service
Summary
In 2012, the United Nations issued the White Paper on Big Data, which elaborates on the coming of the big data era and its profound impact on economic and social development[1].In August 2015, the State Council promulgated the Notice of the Platform for Action to Promote the Development of Big Data, which has become the basic and forward-looking technology of our country and is the inherent need and inevitable choice for the country to implement the strategy of innovation-driven development[2].Relevant studies have found that about 20% of college students have psychological problems, of which 15% belong to general psychological problems and need psychological counselors and relatives and friends to provide psychological counseling.3.5% of the students have mental disorders and often suffer from emaciation, insomnia and restlessness. 1.5% of the students are psychotic and lose self-control ability. 1.5% of the students are psychotic and lose self-control ability They cannot distinguish reality from hallucination [3].At present, most of the behavior management methods of school students in our country are propaganda, sermon and regular investigation. Their management methods only focus on qualitative analysis afterwards. The data mining method is used to analyze the effective information under the students' learning data, and to evaluate and feedback it It can help students learn and provide teaching strategies for teachers effectively [6-8].In view of the research on the mining method of a large number of consumption records data generated in the campus card application, document [9] takes HDFS as the data storage medium, combines Spark platform with data mining technology, and excavates data sources based on smart campus data. Document [11] Based on Hadoop platform, large-scale data in intelligent campus system are analysed and mined, and a collaborative filtering recommendation system based on student similarity is established to realize campus information sharing and recommendation
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