• Information and Communications Magazine
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• v.29 no.11
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• pp.55-66
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• 2012

빅 데이터의 관심이 인프라 및 분석기술 자체에서 가치창조 측면으로 이동하면서 가치정보를 효율적으로 발굴, 분석, 추출, 활용하기 위한 차세대 고급 분석 기술 및 기법이 요구되고 있다. 이에 빅 데이터 활용기반구축을 위한 정부 및 기업의 대응이 시급한 시점이다. 이 연구는 빅 데이터 활용기반 구축과 분석기술 개발에 도움을 주고자 빅 데이터 분석의 핵심기술동향을 분석하고 실천과제를 제시한다.

• The Mathematical Education
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• v.62 no.2
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• pp.289-302
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• 2023

In today's digital information society, student knowledge and skills to analyze big data and make informed decisions have become an important goal of school mathematics. Integrating big data statistical projects with digital technologies in high school <Artificial Intelligence> mathematics courses has the potential to provide students with a learning experience of high impact that can develop these essential skills. This paper proposes a set of guidelines for designing effective big data statistical project-based tasks and evaluates the tasks in the artificial intelligence mathematics textbook against these criteria. The proposed guidelines recommend that projects should: (1) align knowledge and skills with the national school mathematics curriculum; (2) use preprocessed massive datasets; (3) employ data scientists' problem-solving methods; (4) encourage decision-making; (5) leverage technological tools; and (6) promote collaborative learning. The findings indicate that few textbooks fully align with these guidelines, with most failing to incorporate elements corresponding to Guideline 2 in their project tasks. In addition, most tasks in the textbooks overlook or omit data preprocessing, either by using smaller datasets or by using big data without any form of preprocessing. This can potentially result in misconceptions among students regarding the nature of big data. Furthermore, this paper discusses the relevant mathematical knowledge and skills necessary for artificial intelligence, as well as the potential benefits and pedagogical considerations associated with integrating technology into big data tasks. This research sheds light on teaching mathematical concepts with machine learning algorithms and the effective use of technology tools in big data education.

• Spatial Information Research
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• v.23 no.6
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• pp.19-29
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• 2015

This study was conducted with the purpose of suggesting the improvement plan of political for activating the Geo-Spatial Big Data Services. To this end, we were review the previous research for Geo-Spatial Big Data and analysis domestic and foreign Geo-Spatial Big Data propulsion system and policy enforcement situation. As a result, we have deduced the problem of insufficient policy of reaction for future Geo-Spatial Big Data, personal information protection and political basis service activation, relevant technology and policy, system for Geo-Spatial Big Data application and establishment, low leveled open government data and sharing system. In succession, we set up a policy direction for solving derived problems and deducted 5 policy issues : setting up a Geo-Spatial Big Data system, improving relevant legal system, developing technic related to Geo-Spatial Big Data, promoting business supporting Geo-Spatial Big Data, creating a convergence sharing system about public DB.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.545-548
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• 2016

Big data is all data generated in the digital environment which has a variety of large and a short life cycle. The amount and type of data are becoming more and more produced on a larger scale, as a smart phone and the internet are popular, and consequently it has been converted into time for users to take advantage and extract only the valuable and useful data from the generated big data. Big data can also be applied to the medical industry and health sectors. It has created the synergy to be fused with ICT such as IoT, smart healthcare, and so on. However, there will be challenges like data security in order securely to use a meaningful and useful vast amounts of data. In this study, we analyze the future prospects of the healthcare, applications and issues of medical big data, and the expected challenges.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.139-141
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• 2018

최근 IoT, SNS 등이 확대 되면서 대규모의 빅데이터가 생산되고 있고, 이러한 빅데이터는 AI 등 지능형 기술과 결합하여 다양한 분야의 예측과 의사결정을 지원하며 새로운 가치를 창출하고 있다. 그러나, 이러한 활용에 있어 가장 걸림돌이 되는 것은 빅데이터에 내제되어 있는 개인정보에 대한 위협이다. 본연구에서는 빅데이터에 내제되어 있는 개인정보를 보호하면서도 빅데이터의 효과적인 분석과 활용을 가능하게 할 수 있는 동형암호(homomorphic encryption)을 살펴보고 빅데이터의 프라이버시 강화 방안과 이를 통한 빅데이터의 활용방안에 대해 연구하고 향 후 과제 등에 대해 고찰해 보도록 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.579-586
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• 2021

This study examines the application of big data and tasks of tourism based on the case of Jeju Special Self-Governing Province, which used big data for regional tourism policy. Through the use of big data, it is possible to understand rapidly changing tourism trends and trends in the tourism industry in a timely and detailed manner. and also could be used to elaborate existing tourism statistics. In addition, beyond the level of big data analysis to understand tourism phenomena, its scope has expanded to provide a platform for providing real-time customized services. This was made possible by the cooperative governance of industry, government, and academia for data building, analysis, infrastructure, and utilization. As a task, the limitation of budget dependence and institutional problems such as the infrastructure for building personal-level data for personalized services, which are the ultimate goal of smart tourism, and the Personal Information Protection Act remain. In addition, expertise and technical limitations for data analysis and data linkage remain.

• The Korean Journal of Archival Studies
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• no.70
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• pp.85-117
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• 2021

The purpose of this study is to investigate and analyze the current status of unit tasks, unit task operation, and record management problems used by local governments, and to present improvement measures using text-based big data technology based on the implications derived from the process. Local governments are in a serious state of record management operation due to errors in preservation period due to misclassification of unit tasks, inability to identify types of overcommon and institutional affairs, errors in unit tasks, errors in name, referenceable standards, and tools. However, the number of unit tasks is about 720,000, which cannot be effectively controlled due to excessive quantities, and thus strict and controllable tools and standards are needed. In order to solve these problems, this study developed a system that applies text-based analysis tools such as corpus and tokenization technology during big data analysis, and applied them to the names and construction terms constituting the record management standard. These unit task operation support tools are expected to contribute significantly to record management tasks as they can support standard operability such as uniform preservation period, identification of delegated office records, control of duplicate and similar unit task creation, and common tasks. Therefore, if the big data analysis methodology can be linked to BRM and RMS in the future, it is expected that the quality of the record management standard work will increase.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.290-293
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• 2017

최근 IoT 기술발달로 인한 스마트폰 및 대용량 미디어기기 사용증가로 인터넷 네트워크 사용량이 폭발적으로 증가되고 있고, 이러한 데이터 사용량 급증으로 대량의 데이터를 지칭하는 빅데이터 수집 및 분석에 많은 기업과 정부가 주목하고 있다. 빅데이터는 기존에 없던 새로운 데이터의 구축이 아니며, 그동안 축적된 다방면의 방대한 데이터의 집합이라 할 수 있다. 빅데이터의 이용 및 분석에 대한 기업 정부 학계의 수요는 증가하고 있지만, 고난도의 빅데이터 분석을 위한 인프라 구축이 선결과제이어서, 이러한 인프라구축 비용 때문에 빅데이터 분석이 일선 산업분야에 바로 적용하는데 많은 장애요인이 되어 데이터 분석가들의 빅데이터 분석에 애로사항으로 존재하고 있다. 이러한 어려움을 해소하기 위한 방안으로 새로운 인프라 구축 없이 Google Analytics API를 연동한 R 프로그래밍의 데이터 시각화를 활용한 데이터 분석 방안을 제시하고자 한다. 본 연구에서는 구글 애널리틱스 API를 연동하여 사용자 웹사이트의 사용자접속, 사이트운영, 이벤트 발생 등의 데이터를 R 프로그램을 활용하여 사이트 현황을 데이터 시각화로 분석하고 운영중인 웹사이트에 적용 가능한 콘텐츠 개발 방안에 대해 연구하였다.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.179-185
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• 2018

Big Data is strictly positioning one of method to deal with problems faced with mankind, not an icon of revolution in future anymore. Application of Big Data and protection of personal information have contradictoriness. When we weight more to usage of Big Data, someone's privacy is necessarily invaded. otherwise, we care more about keeping safe of individual information, only low-level of research using Big Data can be used to accomplish public purpose. In this study, we propose a method to anonymize Big Data collected in order to investigate the problems of personal information infringement and utilize Big Data and protect personal. This will solve the problem of personal information infringement as well as utilizing Big Data.

• Information and Communications Magazine
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• v.32 no.11
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• pp.8-11
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• 2015

적극적인 건강증진과 예방활동을 통해 최적의 건강상태와 높은 수준의 삶의 질을 추구하기 위한 서비스를 제공하는 라이프 케어를 실현하려는 보건 의료산업 분야에서도 타 분야와 마찬가지로 증가하는 의료비에 대한 절감 압박, 서비스의 수준에 대한 소비자의 관심 증대 등 당면한 문제 해결과 산업 경쟁력 강화 방안의 일환으로 빅데이터 활용 방안에 대한 논의가 활발히 이루어지고 있다. 이에 본고에서는 라이프케어 실현을 위한 효율적인 빅데이터 활용방안과 이를 위해 해결해야 할 과제와 전망을 제시하고자 한다.