원문정보
국제문화기술진흥원
International Journal of Advanced Culture Technology(IJACT)
Volume 7 Number 4
2019.12
pp.255-259
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This study reviews the analysis and characteristics of databases from big data and then establishes representational strategy. Thus, analysis has continued for a long time in the quantity and quality of data, and there are changes in the location of data in the social sciences, past trends and the emergence of big data. The introduction of big data is presented as a prototype of new social science and is a useful practical example that empirically shows the need, basis, and direction of analysis through trend prediction services. Big data provides a future perspective as an important foundation for social change within the framework of basic social sciences.
목차
Abstract
1. INTRODUCTION
2. BIG DATA CONCEPTS AND CLASSIFICATIONS
2.1 Big Data Usage Status of Science and Technology Policy
2.2 Late Night Buses in Seoul, Korea
3. BIG DATA USAGE CASE OF SCIENCE AND TECHNOLOGY POLICY
4. PROBLEMS IN USING BIG DATA IN SCIENCE AND TECHNOLOGY POLICY
4.1 Infringement of privacy and privacy rights
4.2 Atrophy effect
4.3 Filter bubble effect
5. CONCLUSION
ACKNOWLEDGEMENT
REFERENCES
1. INTRODUCTION
2. BIG DATA CONCEPTS AND CLASSIFICATIONS
2.1 Big Data Usage Status of Science and Technology Policy
2.2 Late Night Buses in Seoul, Korea
3. BIG DATA USAGE CASE OF SCIENCE AND TECHNOLOGY POLICY
4. PROBLEMS IN USING BIG DATA IN SCIENCE AND TECHNOLOGY POLICY
4.1 Infringement of privacy and privacy rights
4.2 Atrophy effect
4.3 Filter bubble effect
5. CONCLUSION
ACKNOWLEDGEMENT
REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보