Analysis of Students’ Movement Patterns through Big Data

Database Pub Date : 2013-12-11 DOI:10.14257/ASTL.2013.44.01
Jin-tae Park, Heejin Kang, Jun-Soo Yun, Il-Young Moon
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Abstract

Currently, the usage rate of GPS is increasing. In addition to GPS, Big Data is also in the spotlight. The Big Data is a technique that creates values through repetition pattern analysis of data [1]. Using the Big Data, it is possible to analyze the movement path, time, and behavior pattern repetitive of the students. This study has been conducted using the information collected through GPS. Our future work will be on increasing the reliability of the data and gathering of information of the day of the week, weather, blood type, and occupation.
基于大数据的学生运动模式分析
目前,GPS的使用率越来越高。除了GPS,大数据也备受关注。大数据是一种通过重复模式分析数据来创造价值的技术。利用大数据,可以分析学生的运动路径、时间和重复的行为模式。这项研究是利用GPS收集的信息进行的。我们未来的工作将是提高数据的可靠性,并收集有关星期几、天气、血型和职业的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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