• 해운
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• no.11 s.33
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• pp.31-31
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• 2006

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.06a
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• pp.205-206
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• 2014

세계화의 진전 및 시장 개방의 가속화로 인해 국내외 항만물류산업의 중요성이 높아지고 있다. 우리나라는 항만의 경쟁에서 살아남기 위해 첨단기술을 적용한 무인 자동화 컨테이너 터미널의 구축 등을 통해 생산성, 경제성, 보안성 및 서비스 수준을 향상을 위해 연구 하고 있다. 하지만 컨테이너터미널 내부 효율 및 생산성을 향상시키는 연구가 대부분이며 보안업무 등을 처리하는 연구는 미흡한 실정이다. 컨테이너 터미널 보안의 중요성은 갈수록 중요 ${\cdot}{\cdot}$(중략)${\cdots}{\cdot}$.

• Journal of Platform Technology
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• v.12 no.1
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• pp.55-66
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• 2024

The K-POP market has become influential not only in culture but also in society as a whole, including diplomacy and environmental movements. As a result, various papers have been conducted based on machine learning to identify the success factors of idols by utilizing traditional data such as music and recordings. However, there is a limitation that previous studies have not reflected the influence of new media platforms such as Instagram releases, YouTube shorts, TikTok, Twitter, etc. on the popularity of idols. Therefore, it is difficult to clarify the causal relationship of recent idol success factors because the existing studies do not consider the daily changing media trends. To solve these problems, this paper proposes a data collection system and analysis methodology for idol-related data. By developing a container-based real-time data collection automation system that reflects the specificity of idol data, we secure the stability and scalability of idol data collection and compare and analyze the clusters of successful idols through a K-Means clustering-based outlier detection model. As a result, we were able to identify commonalities among successful idols such as gender, time of success after album release, and association with new media. Through this, it is expected that we can finally plan optimal comeback promotions for each idol, album type, and comeback period to improve the chances of idol success.