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http://dx.doi.org/10.6109/jkiice.2014.18.5.1073

Analysis study of movement patterns using BigData analysis technology  

Yun, Jun-Soo (School of Computer Science and Engineering, Korea University of Technology and Education)
Kang, Hee-Soo (School of Computer Science and Engineering, Korea University of Technology and Education)
Moon, Il-Young (School of Computer Science and Engineering, Korea University of Technology and Education)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.5, 2014 , pp. 1073-1079 More about this Journal
Abstract
One of the techniques that are most in the spotlight today, it can be said that Big data. With Big Data, technologies already prevalent in our lives is GPS. Based on the GPS data and Big Data, in this paper, we try to analyze the pattern and path of movement of a particular target. Specific target collects the GPS data by classifying weather and grade and sex of college students, and day of the week in college students of one university. The collected data is analyzed such as movement path, movement time, pattern of repetitive behavior. And visualize it. The analysis method will be classified according to the purpose of data. By identifying relationships with other data results obtained. Based on the present study, the future, we will derive the results of the data more reliable. For this purpose, a wide range of information to be collected will additionally. Research will be developed add to such as Season, time, blood type, occupation data.
Keywords
Big Data; global positioning system (GPS); Pattern Analysis; Reliability;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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