• The Journal of Bigdata
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• v.3 no.2
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• pp.123-130
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• 2018

As the demand for analytics technologies in both industry and academia increases, the demand for analytics experts is also increasing. To meet this trend, universities have begun to develop new analytics curriculum and provide courses for training analytics experts. In this study, we surveyed curriculum of master's analytics programs of 9 Korean universities and 20 overseas universities. As a result of comparing the domestic university program with the overseas university programs, the average number of subjects per school program is more than that of the Korean university program, but it was found to be less in terms of diversity of subjects.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.286-299
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• 2017

The Korean performing arts has been facing stagnation due to oversupply, lack of effective distribution system, and insufficient business models. In order to overcome these difficulties, it is necessary to improve the efficiency and accuracy of marketing by using more objective market data, and to secure audience development and loyalty. This study considers the viewpoint that 'Big Data' could provide more general and accurate statistics and could ultimately promote tailoring services for performances. We examine the first case of Big Data analysis conducted by a credit card company as well as Big Data's characteristics, analytical techniques, and the theoretical background of performing arts consumer analysis. The purpose of this study is to identify the meaning and limitations of the analysis case on performing arts by Big Data and to overcome these limitations. As a result of the case study, incompleteness of credit card data for performance buyers, limits of verification of existing theory, low utilization, consumer propensity and limit of analysis of purchase driver were derived. In addition, as a solution to overcome these problems, it is possible to identify genre and performances, and to collect qualitative information, such as prospectors information, that can identify trends and purchase factors.combination with surveys, and purchase motives through mashups with social data. This research is ultimately the starting point of how the study of performing arts consumers should be done in the Big Data era and what changes should be sought. Based on our research results, we expect more concrete qualitative analysis cases for the development of audiences, and continue developing solutions for Big Data analysis and processing that accurately represent the performing arts market.

• Water for future
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• v.54 no.10
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• pp.48-54
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• 2021

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.23-29
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• 2020

Data generated by the development of ICT, the diversification of ICT devices and services and the expansion of social media are categorized as big data characterized by the amount, variety and speed of the data. The spread of the use of big data is expected to have the effects of identifying the status quo by analyzing data in all industries, predicting the future, and creating opportunities to apply it. However, while it is imperative for these things to be done, the nation still lacks professional training institutions or curricula. In this case study, we will investigate and compare the state of education for the training of big data personnel in Korea, find out what level and level of education is being trained to nurture balanced professionals, and prepare an opportunity to think about how it can help students create value at a time when the need for education is growing in the wake of awareness of big data.

• Land and Housing Review
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• v.7 no.1
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• pp.19-29
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• 2016

This study proposes the big data policy and case studies in Korea and the application of land and housing of spatial big data to excavate the future business and to propose the spatial big data based application for the government policy in advance. As a result, at first, the policy and cases of big data in Korea were evaluated. Centered on the Government 3.0 Committee, the information from each department of government is being established with the big-data-based system, and the Ministry of Land, Infrastructure, and Transport is establishing the spatial big data system from 2013 to support application of big data through the platform of national spatial information and job creation. Second, based on the information system established and administrated by LH, the status of national territory information and the application of land and housing were evaluated. First of all, the information system is categorized mainly into the support of public ministration, statistical view, real estate information, on-line petition, and national policy support, and as a basic direction of major application, the national territory information (DB), demand of application (scope of work), and profit creation (business model) were regarded. After the settings of such basic direction, as a result of evaluating an approach in terms of work scope and work procedure, the four application fields were extracted: selection of candidate land for regional development business, administration and operation of rental house, settings of priority for land preservation, and settings of priority for urban generation. Third, to implement the application system of spatial big data in the four fields extracted, the required data and application and analytic procedures for each application field were proposed, and to implement the application solution of spatial big data, the improvement and future direction of evaluation required from LH were proposed.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.341-347
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• 2014

Among methods of the big data process, big data process under the cloud environment is becoming a main topic. As part of solving faced problem and strengthening industrial competitiveness in the medical and health industry, discussion on ways to activate big data is actively being conducted. Because the reason is a paradigm shift, saving pressure for increasing health care costs, and increased consumer interest for the level of service. In this paper, we find out the relationship between the cloud and big data. And we are to research and analysis a cloud-based big data case in the medical field. Finally we propose the efficient utilization and future outlook. For the smooth functioning of cloud-based medical big data, we have to solve the problems like infrastructure extension, analysis/application software development, and professional manpower training. In addition, we have to correct insufficient laws maintenance to the Cloud utilization, and improve the security and the recognition to personal information, and solve authority for data centralization.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2017.11a
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• pp.109-111
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• 2017

수로조사 정보DB의 효율적인 운영 관리시스템 개발을 통하여 해양정책 수립과 신속하고 다양한 해양공간정보 제공에 부응코자 해양공간정보 수요자 중심이 관리 및 데이터 활용 지원체계를 구축하여 글로벌 해양강국으로 해양영토관리, 재난 및 재해, 선진형 국민체감 해양정보 제공 등 다양한 목적으로 활용.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.1
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• pp.157-167
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• 2020

The big data and artificial intelligence technology, which has provided the foundation for the recent 4th industrial revolution, has become a major driving force in business innovation across industries. In the field of information security, we are trying to develop and improve an intelligent security system by applying these techniques to large-scale log data, which has been difficult to find effective utilization methods before. The quality of security log big data, which is the basis of information security AI learning, is an important input factor that determines the performance of intelligent security system. However, the difference and complexity of log data by various product has a problem that requires excessive time and effort in preprocessing big data with poor data quality. In this study, we research and analyze the cases related to log data collection of various firewall. By proposing firewall log data collection format standard, we hope to contribute to the development of intelligent security systems based on security log big data.

• Journal of the Korea Convergence Society
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• v.8 no.5
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• pp.29-35
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• 2017

Korea has been showing a high interest in convergence centered on information and communication technologies for the past 10 years. However, with successful convergence of broadcasting and telecommunication sectors, successful convergence cases such as IPTV have been excluded. In some fields, The performance that citizens can experience is limited. In addition, the combination of the Internet of things and the big data shows that infinite data in the natural and social environment surrounding service users can be created and utilized to create better services. However, the division between departments and departments, And the limitations of policies and systems that can promote convergence of information and communication technologies. Therefore, in order to create new industries through the fusion of the Internet of things and big data, it is necessary to investigate what kind of inhibitory enzymes are present, to investigate the problems, to solve the problems, to develop technologies for activating the Internet and big data, And suggests ways to utilize the policy to promote convergence of related technologies.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.900-901
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• 2014

최근 정보처리기술의 비약적인 발전은 소셜미디어를 통해 생산되는 종합정보의 처리를 용이하게 하였으며 광역적 의사소통을 가능하게 하였다. 이와 같은 기술의 발전을 재난관리에 적극 활용하려는 움직임이 확산되고 있으며, 이는 국내외의 여러 사례들을 통해 그 필요성이 입증되고 있다. 본 연구에서는 국립재난안전연구원에서 개발한 실시간 소셜 빅데이터 모니터링 시스템인 '소셜빅보드(Social Big Board)'를 활용하여 대상 기간 동안의 지역별 위치공개 트윗 현황을 조사하였다. 이를 위해 전체 재난 안전관련 트윗 중 위치정보공개 트윗을 대상으로 분석을 수행 하였으며 그 결과, 분석기간에 따른 전체 트윗과 지역별 위치정보공개 트윗은 재난상황의 발생과 피해규모에 따라 발생의 정도가 다르게 나타나는 것을 확인하였다. 향후, 재난 안전과 관련된 위치정보공개 트윗의 지속적인 모니터링 수행을 통해 신뢰성 있는 재난 대응체계 구축이 가능할 것으로 기대된다.