• 경영과학
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• 제17권3호
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• pp.19-30
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• 2000

Customization and personalization services are considered as a critical success factor to be a successful Internet store or web service provider. As a representative personalization technique, personalized recommendation techniques are studied and commercialized to suggest products or services to a customer of Internet storefronts based on demographics of the customer or based on an analysis of the past purchasing behavior of the customer. The underlining theories of recommendation techniques are statistics, data mining, artificial intelligence, and/or rule-based matching. In the rule-based approach for personalized recommendation, marketing rules for personalization are usually collected from marketing experts and are used to inference with customers data. however, it is difficult to extract marketing rules from marketing experts, and also difficult to validate and to maintain the constructed knowledge base. In this paper, we proposed a marketing rule extraction technique for personalized recommendation on Internet storefronts using market basket analysis technique, a well-known data mining technique. Using marketing basket analysis technique, marketing rules for cross sales are extracted, and are used to provide personalized advertisement selection when a customer visits in an Internet store. An experiment has been performed to evaluate the effectiveness of proposed approach comparing with preference scoring approach and random selection.

• 한국도서관정보학회지
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• 제37권2호
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• pp.73-95
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• 2006

본 연구의 목적은 4년제 대학도서관에 비해 상대적으로 열악한 환경에 처해 있는 전문대학도서관의 현황과 문제점에 대해 분석하고 이에 대한 개선방안을 제시하는데 있다. 전문대학의 개념과 목적에 대해 알아보고 전문대학도서관의 각종 통계를 통해 외부적인 환경에 대한문제점을 제시하였다. 개선방안을 마련하기 위해 대구지역 소재 전문대학도서관의 장서 수를 기준으로 사례도서관을 선정하였고, 해당 도서관의 웹사이트를 분석하여 전문대학에 맞는 정보서비스 사례를 수집하고 해당 전문대학도서관 사서에 대해 심층인터뷰를 실시하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.706-709
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• 2006

Cancer is one of the major causes of death; however, the survival rate can be increased if discovered at an early stage for timely treatment. According to the statistics of the World Health Organization of 2002, breast cancer was the most prevalent cancer for all cancers occurring in women worldwide, and it account for 16.8% of entire cancers inflicting Korean women today. In order to classify the type of breast cancer whether it is benign or malignant, this study was conducted with the use of the discriminant analysis and the decision tree of data mining with the breast cancer data disclosed on the web. The discriminant analysis is a statistical method to seek certain discriminant criteria and discriminant function to separate the population groups on the basis of observation values obtained from two or more population groups, and use the values obtained to allow the existing observation value to the population group thereto. The decision tree analyzes the record of data collected in the part to show it with the pattern existing in between them, namely, the combination of attribute for the characteristics of each class and make the classification model tree. Through this type of analysis, it may obtain the systematic information on the factors that cause the breast cancer in advance and prevent the risk of recurrence after the surgery.

• 한국학교보건학회지
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• 제31권1호
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• pp.39-47
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• 2018

Purpose: The purpose of this study was to investigate the effect of eating behaviors on subjective happiness of adolescents in South Korea. Methods: This study is a cross-sectional study. Using the statistics of the 13th (2017) Korea Youth Risk Behavior Web-based Survey, multiple logistic regression was conducted. The study sample comprised 62,276 middle and high school students aged primarily 12 to 17. Results: The rate of skipping breakfast more than five days per week was 31.5%, the rate of eating fast food more than three times per week was 20.5%, the rate of eating ramen more than three times per week was 25.9%, and the rate of eating at a convenience store more than three times per week was 26.0%. The eating behaviors affecting the subjective happiness of Korean adolescents were skipping breakfast and eating at a convenience store. Conclusion: In order to improve the negative eating behaviors that affect the subjective happiness of adolescents, various efforts will be needed at various levels such as home, school, community, and country.

• 대한간호학회지
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• 제36권2호
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• pp.286-298
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• 2006

Purpose: This study was to develop an online 'alternative therapy and health promotion' class for university students and to evaluate its changes. Method: The online class was developed based on the Instructional Systems Development(ISD) model and model of Web-Based Instruction(WBI) developmental process. This was a quasi-experimental, one group pretest-posttest design. The subjects of this study were 130 students in 3 universities, and they were provided the cyber class for 16 weeks. Data was analyzed by descriptive and plural answer statistics, and paired t-test. Results: The cyber class was developed in five steps : analysis, design, data collection and reconstruction, programing and publishing, and evaluation. The results of program evaluation were positive, which included learning 3.47. system 3.57, and learning satisfaction 3.64 on the scale of 5. The posttest scores of cognition and reliability of alternative therapy were higher than pretest scores. The posttest score of health promoting lifestyle(t=-5.051, p=.000) and perceived health status(t=2.979, p=.003) were significantly higher than those of the pretest. Conclusion: These results suggest that the cyber class is a positive method in increasing a cognition, reliability of alternative therapy, and is effective to improve a health promotion lifestyle and perceived health status for the university students.

• 지역사회간호학회지
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• 제18권1호
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• pp.56-68
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• 2007

Purpose: The present study analyzed the contents of exercise programs for the elderly in Korean and foreign articles. Method: This study analyzed 27 Korean and 20 foreign exercise-related articles selected from Web DBs using keywords 'exercise', 'exercise program' and 'exercise effect'. The collected data were analyzed using SPSS 11.5 through descriptive statistics, $x^2$ test and Fisher's exact test. Results: In the description of population, random sampling and informed consents, foreign articles were higher than Korean articles. In research design, foreign articles randomized controlled trials (RCTs) higher than Korean articles. The contents of exercise programs in the Korean and foreign articles were aerobic, walking and stretching. On the effects of exercise programs in the Korean articles, walking showed the highest frequency in the physical strength as well as muscle strength, balance and flexibility. In the foreign articles, walking and stretching showed high frequency in physical strength. Conclusion: Contents significant in exercise programs for the elderly were walking and stretching. In addition, regular exercise had a positive effect on muscle strength, flexibility and balance in the elderly.

• 동서간호학연구지
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• 제24권1호
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• pp.63-69
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• 2018

Purpose: The purpose of this study was to investigate the factors related to the academic burden on weight loss efforts among adolescents aged 12-18 in Korea. Methods: This study analyzed 29,069 obese adolescents (10.8%) using raw data of the 9th~12th the Korea Youth Risk Behavior Web-based Survey collected from 2013 to 2016. The data was analyzed using descriptive statistics, Chi-square and multivariate logistic regression. Results: Weight control efforts were significantly higher among girls, middle school students, those who are participating in nutrition education, and individuals with perceived fatness or perceived stress. Additionally, a long sitting time and high academic performance were found to be variables affecting the weight control efforts of adolescents. Conclusion: Obese adolescents in Korea spent a lot of time in their studies due to their academic burdens and this caused a lack of time to adjust their weight. Therefore, it is needed to establish a policy by considering these social and cultural factors for obese adolescents in Korea.

• 한국콘텐츠학회논문지
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• 제12권12호
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• pp.577-586
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• 2012

이 연구는 진재킷과 진팬츠에 관한 연구로 패션컬렉션에 제시된 진재킷과 진팬츠의 디자인 특성을 분석하고 활용 가능성을 모색함으로써 진패션 디자인 연구와 패션산업의 상품 기획에 기초자료를 제공하고자 한다. 2007년 S/S시즌에서 2011년 F/W시즌까지의 사진을 수집하여 통계프로그램 SPAW를 활용하여 빈도, 백분율을 사용하여 분석하였다. 연구 결과를 요약하고 결론을 정리하면 다음과 같다. 남성의 진재킷에서 심플한 디테일에 미디움길이, 사각형실루엣을 활용하고, 여성은 여성스러움을 강조한 X자형 실루엣과 쇼트길이의 다양한 디테일을 활용한다. 남성의 진팬츠는 스트레이트 실루엣과 컴포트 실루엣으로 활용하고 여성은 다양한 실루엣, 피트, 길이로 다양한 이미지로 진을 활용할 수 있을 것이다.

• 성인간호학회지
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• 제24권3호
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• pp.253-265
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• 2012

Purpose: The focus of this research was a systematic review of published articles and theses for a degree in Korea and foreign countries on rehabilitation therapy for patients with total knee arthroplasty (TKA). Methods: The literature until December in 2011 were searched and the data basis included Medline, CINAHL, KERIS, National Library of Korea, and National Assembly Library web sites. Words for the search were TKA or TKA and rehabilitation. Studies included randomized controlled and non-equivalent control group pretest-posttest design. 31 studies were analyzed focusing on type, application method, dependant variable and effect using descriptive statistics. Results: Seventeen rehabilitation therapies and forty-nine dependant variables were used. The application methods of rehabilitation therapy were diverse. The most frequently used rehabilitation type was an exercise therapy and a pain/discomfort was the most frequently used dependant variable. The effects of rehabilitation therapy were inconsistent. Conclusion: The individualized rehabilitation therapy must be comprised of type, time, frequency, period and duration. Attention must be made as to the research design, especially the better measurement of the dependent variables. This review may serve as a base for future research.

• Journal of Platform Technology
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• 제6권1호
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• pp.9-16
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• 2018

최근에 이르러 많은 분석자들은 파이썬과 R 등을 이용하여 다양한 분석 및 통계를 효율적으로 사용하여 데이터를 분석하고 있다. 하지만 웹 시스템을 통하여 다양한 분석을 실시간적으로 표현 하고자 하는 요구 사항을 두가지 언어만을 이용하여 해결하기는 어렵다. 그리고 R 에서 P Value 등을 추출할 때 적합한 알고리즘을 적용하지만 Java 에서는 해당하는 알고리즘이 없거나 또는 해당 소스가 검증이 되지 아니하여 추출된 P-Value 값이 R 에서의 값과 다른 것을 확인 할 수 있다. 따라서 본 논문에서는 다른 언어에서 R 을 이용하여 분석자의 분석 알고리즘 내용을 바로 자신의 시스템에 적용 할 수 있는 방안을 제안하고자 한다.