• Journal of Intelligence and Information Systems
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• v.11 no.3
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• pp.69-81
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• 2005

As the competition in business becomes severe, companies are focusing their capacity on customer relationship management (CRM) for survival. One of the important issues in CRM is to build a purchase prediction model, which classifies customers into either purchasing or non-purchasing groups. Until now, various techniques for building purchase prediction models have been proposed. However, they have been criticized because their performances are generally low, or it requires much effort to build and maintain them. Thus, in this study, we propose the support vector machine (SVM) a tool for building a purchase prediction model. The SVM is known as the technique that not only produces accurate prediction results but also enables training with the small sample size. To validate the usefulness of SVM, we apply it and some of other comparative techniques to a real-world purchase prediction case. Experimental results show that SVM outperforms all the comparative models including logistic regression and artificial neural networks.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.23 no.3
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• pp.245-255
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• 2016

Purpose: This study was conducted to compare self-care behaviors and self-care behavior related factors for groups of patients with good, inadequate and poor glycemic control. The study was based on variables of the Theory of Planned Behavior by Ajzen, habit and family support. (1991). Methods: Participants were 134 patients with type 2 diabetes (good glycemic control group: 57, inadequate glycemic control group: 40, poor glycemic control group: 37). Self-care behaviors, intention to self-care behavior and self-care behavior related variables (attitude, subjective norms, perceived behavior control, habits and family support) were measured. Data were collected from August 12 to September 25, 2014 and were analyzed using $x^2$-test, Fisher's exact test, ANCOVA, and logistic regression with SPSS/WIN 21.0. Results: Among the three glycemic groups, there were significant differences in self-care behavior, subjective norms, perceived behavior control, family support, and habits. Multinomial logistic regression showed that poor blood glucose probability was associated with duration of diabetes mellitus, method of DM therapy, perceived behavior control and habits. Conclusion: The study findings reveal the important role of self-care behavior, subjective norms, perceived behavior control, family support, and habits in blood glucose control in adults with type 2 diabetes.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.287-294
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• 2021

The purpose of this study is to type the necessary support services related to the employment of the elderly and to identify in-depth the relationship between the type of support services related to the employment of the elderly and factors that determine employment plans. Data provided by 182 small and medium-sized owners in Seoul A area were analyzed using latent profile analysis and logistic regression. As a result of the analysis, first, it was confirmed that the number of workers and the employment of the elderly were the factors that increased the probability of the elderly employment plans. Second, it was found that the "high-level group of necessary support services" is more likely to have plans to hire the elderly compared to other groups. Based on the results of the study, we would like to provide basic data regarding the direction of government support needed by private businesses to hire the elderly.

• International Commerce and Information Review
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• v.12 no.2
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• pp.267-290
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• 2010

The Kaes$\breve{o}$ng Industrial Park(KIP) is being developed in the region, as a collaborative economic development with South Korea. KIP construction started in June 2003, and in August 2003 North and South Korea ratified four tax and accountancy agreements to support investment. Pilot phase construction was completed in june 2004, and the KIP opened in December 2004. In the KIP's initial phase, 15 South Korean companies constructed manufacturing facilities. Three of the companies had started operations by march 2005. First phase plans envisaged participation by 250 South Korean companies from 2006, employing 100,000 people by 2007. Based on the 2009, 117 factories were employing approximately 41,000 north' workers and 1,000 south' staff. The industrial park is seen as a way for South Korean companies to employ cheap labour that is educated, skilled and speaks Korean which would make communication considerably easier. However the zone still faces a number of obstacles. In the view point of these obstacles, especially this study focused on the complementary issues for the improvement of trade goods management systems between South and North Korea. At the result of this study, it is suggested that, i) to establish portal system based on single window, ii) strengthen user-interface hands of logistic facilities, iii) stable foundations of trade and/or logistic management systems, iv) networking of IT infrastructure with South and North Korea, and so on.

• Journal of Intelligence and Information Systems
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• v.6 no.1
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• pp.73-82
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• 2000

This study examined the characteristicso f the knowledge discovery and data mining algorithms to demonstrate how they can be used to predict health outcomes and provide policy information for hypertension management using the Korea Medical Insurance Corporation database. Specifically this study validated the predictive power of data mining algorithms by comparing the performance of logistic regression and two decision tree algorithms CHAID (Chi-squared Automatic Interaction Detection) and C5.0 (a variant of C4.5) since logistic regression has assumed a major position in the healthcare field as a method for predicting or classifying health outcomes based on the specific characteristics of each individual case. This comparison was performed using the test set of 4,588 beneficiaries and the training set of 13,689 beneficiaries that were used to develop the models. On the contrary to the previous study CHAID algorithm performed better than logistic regression in predicting hypertension but C5.0 had the lowest predictive power. In addition CHAID algorithm and association rule also provided the segment characteristics for the risk factors that may be used in developing hypertension management programs. This showed that data mining approach can be a useful analytic tool for predicting and classifying health outcomes data.

• Journal of Applied Reliability
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• v.15 no.1
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• pp.1-5
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• 2015

This note suggests three approaches to improve reliability in developing weapon systems. The high complexity of the weapon systems make it hard to analyze and predict of those reliability. Current situations of the reliability have been reviewed in terms of logistics support analysis (LSA), warranty policy, maintenance and development. Three suggestions are notified to improve the reliability considering the complexity of the weapon systems.

• Journal of Distribution Research
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• v.15 no.5
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• pp.61-79
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• 2010

As the interest and the importance of environmental protection increases rapidly, the environment considers to be not only the item that requires a control and a duty fundamental element but the fundamental element to enhance the internection icompetitiveness n so. Along with the collapse of the foreign trade barrier and the quality improvement of a customer's life qu life of a an object is shortened liforder to sectsfy the customer's lemands and as the result of it quaother critical issues rmparding the waste treatment and recasles are now thought to be momentou onlyaddition to the issue of the greenhou e gases reduction that is considered as one of me q issues among many internection ienvironmental issues. To keep up the pace with the environmental flow qube notd countries have nlreal iput their attempts to solve this environmental problems through a number of rmpulactios and acctios and they have showed a great concern for it as it is an internection iproblem that they should aasroaeronlythe aspect of not just a compan isr a country but of the wte e globn ivillage. Sueroenvironmental flow alemaned the logistic stratmpy of a compan iand it brought up the demand for the reverse logistics in a supply chain. For the reason above, the concept of reverse logistics and classification, the comparison with any similar concepts and its necessity are studied in this research through the theoretical consideration and the current state of the reverse logistics is organized in this research by acknowledging the domestic development process and the properties regarding the recycles of resources. In addition, the way to apply to the nation was investigated by comparing with the environmentalism development process, the reverse logistics policies and examples of advanced countries in logistics. The research proposed building of intimate cooperative system between a shipper and logistic service provider for the reverse logistics throughout the whole supply chain, the financial support, amendment of regulations, support Eco-friendly logistic technology development and the propagation, effective logistic system development and others and it is expected to bring a significant meaning to the reverse logistic policy and operation later on.

• Convergence Security Journal
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• v.15 no.3_1
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• pp.23-30
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• 2015

Integrated Logistics Support can effectively respond to future wars and through the smooth logistics support activities bring a win in wars. Future warfare is very complex compare to Modern Warfare and required high level of strategies and tactics. Also, it is expected that the future war will be high-intensity war using high-tech weapon systems. Therefore, in this study, I look forward to the effective logistic support through the development of ammunition integrated logistics support which is a part of integrated logistics support(ILS). In addition, by studying a step-by-step system and supporting element of ammunition integrated logistics support, we can find the errors related to ammunition integrated logistics support system and suggest the direction to improve the system.

• Korean Journal of Occupational Health Nursing
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• v.21 no.1
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• pp.46-54
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• 2012

Purpose: The purpose of this study was to identify the influence of the ego-resilience and social support on the depression among hospital nurses. Methods: The subjects of this study were 369 nurses in a hospital. We used the self-reported questionnaire to assess the level of ego-resilience, social support and depression of hospital nurses. The data were analyzed using descriptive statistics, frequency, t-test, ANOVA and logistic regression. Results: The mean scores of ego-resilience, social support and depression were 42.6, 28.3 and 14.1, respectively. When scores of ego-resilience and social support were high, the level of mild and major depression of subjects decreased. The influencing factors of depression level were the department of work, ego-resilience and social support. Conclusion: The findings suggest that developing programs to improve ego-resilience and social support might be useful. Further study is required to justify the scale on ego-resilience and social support.

• Journal of the Korean association of regional geographers
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• v.15 no.3
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• pp.409-420
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• 2009

This study aims at analyzing location and policy factors influencing the move-in decision of apartment factories on the case study of middle and small sized companies in Daegu City. The main results of this study are as follows. Firstly, analyzing the questionnaire survey results, 58.2% of response companies have the intentions to move-in apartment factories. Secondly, through the factor analysis to the location factors, 5 factors such as network, move-in cost, accessibility, factory space and labor are derived. And through the factor analysis to the policy factors, 3 factors such as management support policy, pecuniary support policy and administrative support policy are also derived. Finally, analyzing logistic regression analysis, we can find pecuniary support policies influence the move-in decision of apartment factories.