• 디지털융복합연구
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• 제18권4호
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• pp.325-340
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• 2020

오늘날 비약적으로 발달한 의료 기술(Health Technology)은 병원에서 생성되는 데이터 외에도 사물 인터넷 기반의 의료기기를 통해 방대한 양의 데이터를 축적하고 있다. 수집된 데이터는 다양한 가치를 창출할 수 있는 원료가 되지만 우리 사회에는 의료 빅데이터를 활용하는데 근거가 되는 법적·제도적 장치가 미비한 상태다. 이에 본 연구에서는 빅데이터 기반 의료 산업의 활성화 방안을 모색하기 위해 의료 빅데이터의 활용을 저해하는 4가지 주요 요인을 살펴보았으며 그 외 국외 정책 및 기술적 동향을 파악해 국내 의료 빅데이터 활성화를 위한 시사점을 도출하였다. 연구결과 의료 빅데이터의 보안과 활용성 강화를 동시에 만족시키는 규제 체계의 개선 및 빅데이터 거버넌스의 구축이 필요하다는 결론이 도출되었으며 이를 위해 미국과 영국이 채택하고 있는 빅데이터 비식별화 가이드라인을 참고해 규제 체계를 정비할 것을 제안하였다. 향후 본 연구에서 도출한 결론 및 시사점의 구체적 활용 방안을 다룬 연구가 필요할 것으로 보이며 본 연구를 참고해 제도적 미비점을 보완한다면 의료 빅데이터를 유용하게 활용하는데 긍정적인 역할을 할 것으로 기대된다.

• International Journal of Advanced Culture Technology
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• 제10권3호
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• pp.287-294
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• 2022

This paper examines the change and its meaning of marketing strategy in business administration, which is changing along with the development of digital technology. Unlike conventional marketing, digital marketing is creating new relationships and making changes through a two-way approach rather than a one-way approach between producers and consumers. And these changes are creating new approaches not only in the problems between businesses and consumers, but also in the relationship between public institutions and citizens. In particular, the potential of platforms, which are emerging as important in digital management, is applied to public policies, and efforts are being made to establish marketing strategies for public institutions. One case of this was applied to the cultural contents industry and policy to examine specific measures and visions. The cultural big data platform is in line with digital management and continuously utilizes digital marketing strategies in the public domain, and aims to promote creative work as well as publicize it to citizens and workers in the cultural content industry. The synergy effect that will emerge from the combination of the cultural big data platform and digital management is expected to continue.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.68-74
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• 2023

The food industry has been hit hard since the first outbreak of COVID-19 in 2019. However, as of April 2022, social distancing has been resolved and the restaurant industry has gradually recovered, interest in restaurant start-ups is increasing. Therefore, in this paper, 'restaurant start-up' was cited as a key keyword through social media big data analysis using TexTom, and word frequency and cone analysis were conducted for big data analysis. The keyword collection period was selected from May 1, 2022, when social distancing due to COVID-19 was lifted, to May 23, 2023, and based on this, a plan to develop chatbot services for restaurant start-ups was proposed. This paper was prepared in consideration of what to consider when starting a restaurant and a chatbot service that allows prospective restaurant founders to receive information more conveniently. Based on these analysis results, we expected to contribute to the process of developing chatbots for prospective restaurant founders in the future

• 인간식물환경학회지
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• 제22권5호
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• pp.455-466
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• 2019

This study was carried out to analyze trends in floral products and services through the big data analysis of various social networking services (SNSs) and then to provide objective marketing directions for the floricultural industry. To analyze the big data of SNSs, we used four analytical methods: Cotton Trend (Social Matrix), Naver Big Data Lab, Instagram Big Data Analysis, and YouTube Big Data Analysis. The results of the big data analysis showed that SNS users paid positive attention to flower one-day classes that can satisfy their needs for direct experiences. Consumers of floral products and services had their favorite designs in mind and purchased floral products very actively. The demand for flower items such as bouquets, wreaths, flower baskets, large bouquets, orchids, flower boxes, wedding bouquets, and potted plants was very high, and cut flowers such as roses, tulips, and freesia were most popular as of June 1, 2019. By gender of consumers, females (68%) purchased more flower products through SNSs than males (32%). Consumers preferred mobile devices (90%) for online access compared to personal computers (PCs; 10%) and frequently searched flower-related words from February to May for the past three years from 2016 to 2018. In the aspect of design, they preferred natural style to formal style. In conclusion, future marketing activities in the floricultural industry need to be focused on social networks based on the results of big data analysis of popular SNSs. Florists need to provide consumers with the floricultural products and services that meet the trends and to blend them with their own sensitivity. It is also needed to select SNS media suitable for each gender and age group and to apply effective marketing methods to each target.

• 벤처창업연구
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• 제11권6호
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• pp.185-194
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• 2016

최근 인터넷, 모바일 등의 보급이 보편화됨에 따라, 많은 정보를 담고 있는 방대한 양의 데이터를 활용한 빅데이터(BigData) 기술의 필요성이 대두되고 있다. 빅데이터 기술은 다양한 분야에서 활용되고 있는 반면, 공공분야에서의 활용은 아직 미흡한 실정으로 본 연구에서 이를 적용하고자 한다. 다양한 공공분야 중 현재 뿐 아니라 미래사회에 큰 영향을 미치게 될 고령화를 키워드(Key-Word)로 실버산업에 영향을 미치는 요인을 탐색하였다. 분석결과, 실버산업, 독거노인, 노화, 출생, 퇴임 의 5개 변수가 탐색되었으며, 서로 상관이 있는 것으로 확인되었다. 이에 실버산업에 대하여 나머지 4개의 변수의 영향력을 분석한 결과, 통계적으로 유의한 영향을 미치는 것으로 확인되었다. 또한, 실버산업 발전의 대안으로써 독거노인 주거 공간 마련, 출산장려, 시니어 기술인 실버창업 활성화 지원의 필요성을 제안하였다. 본 연구는 빅데이터를 활용한 계량적 접근을 통해 요인을 탐색하였다는 측면에서 이론적 시사점을 제공하였으며, 그 대안을 제시함으로써 실무적 시사점을 제공하고자 하였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 춘계학술대회
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• pp.693-696
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• 2013

정보보호시스템(Information protection system)기반의 IT 환경 구축이 보편화되면서 공공기관 및 기업체에서는 정보시스템 자원의 활용과 통합을 위한 하나의 필수적인 환경으로 인식하기 시작하였고, 클라우드 시스템(Cloud System), 클라우드 보안(Cloud Security), 빅데이터(Big Data), 빅데이터 보안(Big Data Security), 산업보안(Industry Security)등이 이슈화 되고 있다. 이러한 영향으로 인해 정보보호시스템(Information protection system) 구축에 따른 내외부적인 보안 위협요소 분석과 대응방안 수립하고자 한다. 본 논문에서는 정보보호시스템(Information protection system) 도입에 따른 여러 가지 보안 위협요소를 알아보고 특히 산업보안적인 측면과 내외부 보안위협요소에 관한 측면을 조명하여 대응방안 수립에 관한 기반 지식을 제공하고자 한다.

• 스마트미디어저널
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• 제8권1호
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• pp.9-18
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• 2019

4차 산업혁명 시대에 사물인터넷과 모바일을 통해 수집된 다양한 정보를 이용해 공공 및 민간영역의 새로운 비즈니스모델을 위한 빅데이터 산업이 각광을 받고 있다. 하지만, 개인정보 비식별화 조치를 통한 빅데이터 통합 및 분석를 수행하면서 개인프라이버시가 노출될 위험성을 여전히 가지고 있다. 최근 개인정보를 노출하지 않고 데이터의 가치를 유지하는 방법에 대한 연구가 진행되고 있다. 본 논문에서는 빅데이터산업 활성화를 위해 의료, 농업 등 산업별로 개인정보 보호체계가 필요함을 강조하였다. 비식별화된 개인정보의 적정성 평가 기준을 개인 민감정보 중심의 의료분야는 k-익명성 최소값을 일반적인 산업분야의 평균값 보다 높은 5 이상으로 설정해야하며, 농업분야에서는 개인별 민감정보범위에 개인소유 반려견이나 농지 정보를 포함시켜서, 산업별 특성에 맞게 개인정보 보호체계를 보완해야하며, 해당 산업의 특정지역을 대상으로 먼저 실증을 거처 전국적으로 확산하는 것을 제안한다.

• Journal of Multimedia Information System
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• 제6권4호
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• pp.217-224
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• 2019

As the world's population grows, how to maintain the food supply is becoming a bigger problem. Now and in the future, big data will play a major role in decision making in the agriculture industry. The challenge is how to obtain valuable information to help us make future decisions. Big data helps us to see history clearer, to obtain hidden values, and make the right decisions for the government and farmers. To contribute to solving this challenge, we developed the Agriculture Big Data Analysis System. The system consists of agricultural big data collection, big data analysis, and big data visualization. First, we collected structured data like price, climate, yield, etc., and unstructured data, such as news, blogs, TV programs, etc. Using the data that we collected, we implement prediction algorithms like ARIMA, Decision Tree, LDA, and LSTM to show the results in data visualizations.

• 디지털산업정보학회논문지
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• 제11권1호
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• pp.157-169
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• 2015

In digital marketing, means of public relations and marketing of enterprises are changing into marketing techniques of predictive analytics. A significant study can be carried out by an analysis of 'the patterns of customers' uses' using big data on major portal sites and SNSs and their correlation with related keywords. This study analyzes the origins of mythological characters in major brands such as Nike, Hermes, Versace, Canon and Starbucks. Also, it extracts related keywords and relevance using big data on portal sites and SNS and their correlation. Nike marketing that reminds people of 'the goddess of victory, Nike' formed a good combination of the brand with relevance. Most of them are based on Greek mythology and have rich materials for storytelling and artistic values in common. Hopefully, this case analysis of foreign brands would become a starting point of discovering the materials of the domestic mythological characters.

• 품질경영학회지
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• 제51권4호
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• pp.551-571
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• 2023

Purpose: The purpose of this study is to propose useful suggestions by analyzing the causal effect relationship between the failure rate of quality and the process variables in the C5ISR domain of the defense industry. Methods: The collected data through the in house Systems were analyzed using Big data analysis. Data analysis between quality data and A/S history data was conducted using the CRISP-DM(Cross-Industry Standard Process for Data Mining) analysis process. Results: The results of this study are as follows: After evaluating the performance of candidate models for the influence of inspection data and A/S history data, logistic regression was selected as the final model because it performed relatively well compared to the decision tree with an accuracy of 82%/67% and an AUC of 0.66/0.57. Based on this model, we estimated the coefficients using 'R', a data analysis tool, and found that a specific variable(continuous maximum discharge current time) had a statistically significant effect on the A/S quality failure rate and it was analysed that 82% of the failure rate could be predicted. Conclusion: As the first case of applying big data analysis to quality issues in the defense industry, this study confirms that it is possible to improve the market failure rates of defense products by focusing on the measured values of the main causes of failures derived through the big data analysis process, and identifies improvements, such as the number of data samples and data collection limitations, to be addressed in subsequent studies for a more reliable analysis model.