• Title/Summary/Keyword: Association Rules Analysis

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Effects of the After School Sports Club Activity on the School Life Satisfaction in the Middle School Students (중학생의 방과 후 스포츠클럽활동 참가가 학교생활만족에 미치는 영향)

  • Hwang, Sun-Hwan;Kim, Hong-Seol
    • The Journal of the Korea Contents Association
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    • v.12 no.12
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    • pp.771-778
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    • 2012
  • The purpose of the study was to investigate the effects of the after school sports club activity on the school life satisfaction in the middle school students. A total of 640 middle school students in D city at september, 2012 were selected using the stratified cluster random sampling method. The survey instrument was utilized for the current study. Independent variables included participation or non-participation and the level of participation(frequency, duration, intensity), and dependent variables contained the school life satisfaction(classmate, teacher, learning activity, school event, and following rules). After the pilot test, the frequency analysis, exploratory factor analysis, reliability analysis, t-test, correlation analysis, and regression analysis were conducted with the SPSS 18.0 program. Main findings were as followed: First, the school life satisfaction of the middle school students participating in the after school sports club activity was higher than it of non-participants. Second, the level of participation in the after school sports clubs activity had an influence on the school life satisfaction. In detail, satisfaction with the school life of students who frequently, long, and intensively participated in the after school sports club activity was higher.

Analysis of the Type of Narrative Structure of the '10 Million Films' ('천만 영화'의 서사구조 유형 분석)

  • Tae, Ji-Ho;Kim, DaeKeun
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.7
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    • pp.287-298
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    • 2020
  • The purpose of this study is to analyze the narrative structure and types of films that has attracted more than 10 million viewers ('10 million films') among films released in Korea, and deal with the implications of the current Korean film industry. To this end, this study investigated the relationship between films and their narrative as a product of the film industry. To approach this, We dealt with the features of structuralist analysis and archetype or mythological narrative analysis. For a detailed analysis, a total of 27 films of "10 million films" were categorized using Northrop Frye's original narrative analysis method. As a result of the study, 13 comedy structures, 7 romance structures, 4 tragic structures, and 3 irony and satire structures. It was confirmed that the "comedy" and "romance" structures had a high percentage of all 10 million films, and occupied the top ranks in the box office rankings. In conclusion, this study confirmed the narrative rules and customs of films hitting Korean box offices, and through this, it was possible to examine a rough topography of the film consumption of the public in the Korean film industry. This can be said to provide a clue as to how the narrative of the film should be constructed when producing a film from an industrial perspective.

The Pharmaceuticals Regime in the KORUS FTA and the TPP Agreement: A Comparative Analysis (한미FTA와 TPP협정의 비교분석을 통한 의약품 분야 국제통상규범에 대한 연구)

  • Yun, Mikyung
    • International Commerce and Information Review
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    • v.18 no.4
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    • pp.165-193
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    • 2016
  • This paper conducts a comparative analysis of the KORUS FTA and the TPP Agreement to assess the current state of affairs in international trade rules for the pharmaceutical industry. Intellectual property rights as well as public health related regulations have evolved to strengthen the position of innovator drug companies. In particular, the TPP Agreement which adopted data exclusivity for biologics for the first time, will set the standard for the future. Apart from this however, the TPP Agreement has not gone further than the KORUS FTA and in some respects, even contains greater policy flexibilities and provisions for market access than the KORUS FTA. Korea should take advantage of such differences when and if she must engage in negotiations to join the TPP Agreement or a renegotiation of the KORUS FTA.

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A Special Purpose FE Program for the Collapse Strength Analysis of Bulk Carrier Corrugated Bulkheads Subject to Accidental Flooding (침수시 산적화물선 파형 횡격벽 붕괴강도해석 전용 유한요소 프로그램 개발)

  • Jeom-Kee Paik;Sung-Geun Kim
    • Journal of the Society of Naval Architects of Korea
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    • v.35 no.2
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    • pp.63-73
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    • 1998
  • Due to the collapse of corrugated bulkheads subject to accidental flooding which is thought to be a primary cause of bulk carrier losses International Maritime Organization(IMO), the International Association of Classification Societies(IACS) and the leading classification societies are taking a growing concern for the structural safety of corrugated bulkheads of bulk carriers. To prevent progressive collapse of corrugated bulkhead in flooded condition particularly of forward cargo ho1d they try to make rules which require reinforcement of corrugated bulkhead structure. However, we are still confronted with the urgent problem of more accurate and efficient ultimate strength assessment for corrugated bulkheads. This paper develops a special purpose nonlinear FE program for analyzing progressive collapse behavior of corrugated bulkheads subject to lateral pressure loads. As verification examples, the program is applied to collapse strength analysis of steel corrugated bulkhead test model.

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Keyword Analysis of Two SCI Journals on Rock Engineering by using Text Mining (텍스트 마이닝을 이용한 암반공학분야 SCI논문의 주제어 분석)

  • Jung, Yong-Bok;Park, Eui-Seob
    • Tunnel and Underground Space
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    • v.25 no.4
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    • pp.303-319
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    • 2015
  • Text mining is one of the branches of data mining and is used to find any meaningful information from the large amount of text. In this study, we analyzed titles and keywords of two SCI journals on rock engineering by using text mining to find major research area, trend and associations of research fields. Visualization of the results was also included for the intuitive understanding of the results. Two journals showed similar research fields but different patterns in the associations among research fields. IJRMMS showed simple network, that is one big group based on the keyword 'rock' with a few small groups. On the other hand, RMRE showed a complex network among various medium groups. Trend analysis by clustering and linear regression of keyword - year frequency matrix provided that most of the keywords increased in number as time goes by except a few descending keywords.

Nonstandard Machine Learning Algorithms for Microarray Data Mining

  • Zhang, Byoung-Tak
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2001.10a
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    • pp.165-196
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    • 2001
  • DNA chip 또는 microarray는 다수의 유전자 또는 유전자 조각을 (보통 수천내지 수만 개)칩상에 고정시켜 놓고 DNA hybridization 반응을 이용하여 유전자들의 발현 양상을 분석할 수 있는 기술이다. 이러한 high-throughput기술은 예전에는 생각하지 못했던 여러가지 분자생물학의 문제에 대한 해답을 제시해 줄 수 있을 뿐 만 아니라, 분자수준에서의 질병 진단, 신약 개발, 환경 오염 문제의 해결 등 그 응용 가능성이 무한하다. 이 기술의 실용적인 적용을 위해서는 DNA chip을 제작하기 위한 하드웨어/웻웨어 기술 외에도 이러한 데이터로부터 최대한 유용하고 새로운 지식을 창출하기 위한 bioinformatics 기술이 핵심이라고 할 수 있다. 유전자 발현 패턴을 데이터마이닝하는 문제는 크게 clustering, classification, dependency analysis로 구분할 수 있으며 이러한 기술은 통계학과인공지능 기계학습에 기반을 두고 있다. 주로 사용된 기법으로는 principal component analysis, hierarchical clustering, k-means, self-organizing maps, decision trees, multilayer perceptron neural networks, association rules 등이다. 본 세미나에서는 이러한 기본적인 기계학습 기술 외에 최근에 연구되고 있는 새로운 학습 기술로서 probabilistic graphical model (PGM)을 소개하고 이를 DNA chip 데이터 분석에 응용하는 연구를 살펴본다. PGM은 인공신경망, 그래프 이론, 확률 이론이 결합되어 형성된 기계학습 모델로서 인간 두뇌의 기억과 학습 기작에 기반을 두고 있으며 다른 기계학습 모델과의 큰 차이점 중의 하나는 generative model이라는 것이다. 즉 일단 모델이 만들어지면 이것으로부터 새로운 데이터를 생성할 수 있는 능력이 있어서, 만들어진 모델을 검증하고 이로부터 새로운 사실을 추론해 낼 수 있어 biological data mining 문제에서와 같이 새로운 지식을 발견하는 exploratory analysis에 적합하다. 또한probabilistic graphical model은 기존의 신경망 모델과는 달리 deterministic한의사결정이 아니라 확률에 기반한 soft inference를 하고 학습된 모델로부터 관련된 요인들간의 인과관계(causal relationship) 또는 상호의존관계(dependency)를 분석하기에 적합한 장점이 있다. 군체적인 PGM 모델의 예로서, Bayesian network, nonnegative matrix factorization (NMF), generative topographic mapping (GTM)의 구조와 학습 및 추론알고리즘을소개하고 이를 DNA칩 데이터 분석 평가 대회인 CAMDA-2000과 CAMDA-2001에서 사용된cancer diagnosis 문제와 gene-drug dependency analysis 문제에 적용한 결과를 살펴본다.

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The Core Capabilities and Differences of Korean Credit Card Companies: Based on Q Analysis Results of Employers in Credit Card Companies (한국 신용카드기업의 역량과 차별성 : 신용카드기업 종사자에 대한 Q 분석결과를 중심으로)

  • Koh, Hyung-Myun
    • Survey Research
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    • v.9 no.2
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    • pp.85-118
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    • 2008
  • There have been a great many ups and downs in Korean Credit Card Industries after 2000. It is certain that each Credit Card Company copes with the situations by means of its organizational capabilities. According to the evolutionary view of Institutionalism, a company's capabilities are composed of every day routines, codes, rules, learning(by doing, using, interacting) and decision makings. The purpose of this article is to verify how two Korean Credit Card Companies showed their strategic differences and what factors exposed each company's own limits. To examine the company's ordinary conducts, this study used Q methodology with a random sample of 16 members from each company. Especially from the results of Q factor analysis, it becomes clear that each company still takes a serious view of the economy of scale rather than the innovation or improvement of organizational and relational dynamics.

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A Study on the Value Added Criterion of Rules of Origin under FTAs with the US and EU: Focusing on Automotive Sector

  • Chung, Jae-Wan;Han, Ki-Moon
    • Journal of Korea Trade
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    • v.23 no.6
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    • pp.1-13
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    • 2019
  • Purpose - This study deals with a strategic plan for meeting the value added criteria effectively, which is one of the methods of determining origin used in preferential trade such as FTA. Automobile products, one of the major Korean export items, were selected to give a practical use against the FTA requirements. Design/methodology - This study is based on the value-added criteria of the Korea-US and Korea-EU FTAs that apply various value-added criteria. The Korea-US FTA adopts the RVC method based on the integration, deduction and net cost methods, while the MC method is employed in the Korea-EU FTA. The methodology used in this work is an extended literature review, analysis of the value-added criteria applied to automobile products under Korea-US and Korea-EU FTA with some secondary statistics. Findings - Based on in - depth analysis of the value - added criteria requirements for automobile products stipulated in the Korea - US FTA and the Korea - EU FTA, two strategic considerations are suggested. First is 'appropriate value-added strategy' and the second is 'strategy of changing production and trade structure'. The second strategy is a bit used in Korea but this is not considered best if the first strategy is ignored or forgotten. The second one is meaningful when this becomes inevitable. Research limitations/implications - This study is primarily designed to assist Korean auto mobile industry players exporting to EU and USA but this may help to auto part or material producers in FTA counter party territories being EU or USA as the preferential tariffs are applied on a inter region basis. A further research other than auto mobiles using other major FTAs might be followed later. Originality/value - There has been so far little research on strategic factors to meet the value-added origin requirements. This study, therefore, is expected to contribute facilitating the decision of FTA origin and to improve the utilization of FTA by allowing exporting companies using value added criterion to more smoothly meet origin requirements. This will also enable the tax authorities to utilize the value-added criterion to validate effectively the origin of imports where preferential tariffs are applied.

Association between Self-efficacy, Stress, Violence Experiences, Economic state, Relationship Conflict, Health Behaviors and Depression in Graduate Student (대학원생의 자기효능감, 스트레스, 폭력 경험, 경제적 환경, 관계갈등, 건강행위가 우울에 미치는 영향)

  • Kim, Da Hye;Ham, Ok Kyung;Suh, Min Hee;Park, Sihyun
    • Journal of Korean Public Health Nursing
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    • v.35 no.1
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    • pp.89-103
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    • 2021
  • Purpose: This study examined the factors associated with depression among Korean graduate students. Specifically, personal (self-efficacy, stress), environmental (violence experience, economic state, and relationship conflict), and behavioral (health behavior) factors were analyzed. Methods: This study used a cross-sectional study design. One hundred and fifty participants currently enrolled in graduate programs were recruited. Google Drive was used for online data collection. Descriptive statistics, correlational analyses, and hierarchical regression analysis were conducted. Results: First, 52% of the participants were male, with an average age of 28.05(±3.19). Master's students comprised the largest proportion (63.3%). Approximately about 38.7% were engineering majors. Second, approximately 27.3% had depressive symptoms; and 7.3% had major depression. Third, there was a significant correlation between personal, environmental (financial burdens), and behavioral factors. Fourth, hierarchical regression analysis revealed a lower depression level to be associated with a higher self-efficacy level and health behavior. In contrast, a higher depression level was related to violence experience. Conclusion: The government should press on establishing rules on the prevention and regulation of violence in universities, and impose strong disciplinary measures to root out the problem. In addition, universities must pay attention to the mental health of graduate students and establish systems to manage them.

SME Bakery's Marketing Strategies Based on Apriori Algorithm (Apriori 알고리즘 기반의 중소 베이커리 기업의 대응 전략)

  • Kim, Do Hoon;Lee, Hyeon June;Lee, Bong Gyou
    • Journal of Convergence for Information Technology
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    • v.12 no.4
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    • pp.328-337
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    • 2022
  • The importance of online marketing is emerging due to the prevalence of COVID-19. In order to respond to the changing business environment, we have collected ten years of sales data of SME bakery company that have experienced a decrease in sales due to the COVID-19. As a result of the analysis, we found that switching from offline markets to omnichannel B2B and B2C markets and taking 'small quantity batch production' to 'mass production in a small variety can improve management. This study presented online and offline marketing strategies through data analysis of small and medium-sized bakery companies, which have relatively insufficient digital capabilities compared to large companies, and could be a guideline for many SMEs.