Analysis and Research of Prediction System Based on Behavioral Big Data Computation

Haolong Xu, Yanling Zhou
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Abstract

The data processing technology makes big data have a more important utilization value. College one-card data is an important part of campus big data. By analyzing college students' one-card data, unknown information can be mined. We analyze the data of college students' all-in-one card, including consumption information, book borrowing information, access control information, and other information which reflect students' activity behavior and predict students' learning situation for early warnings for students' graduation possibility. In addition, this information can also effectively help college administrators grasp the recent state of students on time, and then make corresponding psychological analyses and counseling for guiding contemporary college students to form a correct outlook on life and values.
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基于行为大数据计算的预测系统分析与研究
数据处理技术使大数据具有更重要的利用价值。高校一卡通数据是校园大数据的重要组成部分。通过对大学生一卡通数据的分析,可以挖掘未知信息。我们对大学生一卡通的数据进行分析,包括消费信息、图书借阅信息、门禁信息等反映学生活动行为的信息,预测学生的学习情况,为学生毕业的可能性进行预警。此外,这些信息还可以有效地帮助高校管理者及时掌握学生的近期状态,进而进行相应的心理分析和疏导,引导当代大学生形成正确的人生观和价值观。
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