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Big Data Analytics for Behavior Monitoring of Students

机译:大数据分析,用于学生的行为监控

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Security threat from senseless terrorist attacks on unarmed civilians is a major concern in today's society. The recent developments in data technology allow us to have scalable and flexible data capture, storage, processing and analytics. We can utilize these capabilities to help us in dealing with our security related problems. This paper gives a new meaning to behavioral analytics and introduces a new opportunity for analytics in a typical university setting using data that is already present and being utilized in a university environment. We propose the basics of a system based on Big Data technologies that can be used to monitor students and predict whether some of them are becoming prone to deviant ideologies that may lead to terrorism.
机译:来自无武装平民的无意义恐怖袭击的安全威胁是当今社会的主要关切。数据技术的最新发展使我们能够进行可扩展且灵活的数据捕获,存储,处理和分析。我们可以利用这些功能来帮助我们解决与安全相关的问题。本文为行为分析赋予了新的含义,并为在典型的大学环境中使用已经存在并在大学环境中使用的数据进行分析提供了新的机会。我们提出了一种基于大数据技术的系统的基础,该系统可用于监视学生并预测其中的某些人是否倾向于产生可能导致恐怖主义的异常意识形态。

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