• 한국주거학회:학술대회논문집
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• 한국주거학회 2009년 춘계학술발표대회 논문집
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• pp.59-63
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• 2009

This study has the purpose to reveal the differences of residents' level of satisfaction & demand of neighborhood environment and recognized residents' importance level & improvement priority of neighborhood environment at new 3 residential areas in the middle-sized city. The 3 residential areas had differentiated development concepts; (1) residential area in the downtown (2) government-residence compound area in the downtown and (3) industry-residence compound area in the outskirts. Followings are the results of the study. 1) It is different that importance level which have effect on satisfaction of neighborhood environment according to the 3 residential areas. 2) In terms of improvement priority residents present higher preference on location. In terms of improvement priority is different according to the 3 residential areas.

• 수산해양교육연구
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• 제28권1호
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• pp.279-288
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• 2016

The purpose of this research is to examine the impact between the export education of SMEs in Busan Region and export possibility. 62 SMEs in Busan Region were participated in survey. For the empirical analysis, Logistic regression analysis was used with Spss12 to analyze the impact between the involvement on export education and SME's export possibility. In a result, among 3 variables (support, participancy, importance) of involvement on export education, the importance had the influence significantly on export possibility of SMEs. The results indicated that having the intention about the importance of export education is very notable, and implied that it is necessary to develop the education program emphasizing the importance of export education for SMEs' successful export.

• Communications for Statistical Applications and Methods
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• 제27권3호
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• pp.327-347
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• 2020

We consider a credit portfolio with highly skewed exposures. In the portfolio, small number of obligors have very high exposures compared to the others. For the Bernoulli mixture model with highly skewed exposures, we propose a new importance sampling scheme to estimate the tail loss probability over a threshold and the corresponding expected shortfall. We stratify the sample space of the default events into two subsets. One consists of the events that the obligors with heavy exposures default simultaneously. We expect that typical tail loss events belong to the set. In our proposed scheme, the tail loss probability and the expected shortfall corresponding to this type of events are estimated by a conditional Monte Carlo, which results in variance reduction. We analyze the properties of the proposed scheme mathematically. In numerical study, the performance of the proposed scheme is compared with an existing importance sampling method.

• Asian Journal of Business Environment
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• 제5권2호
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• pp.5-13
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• 2015

Purpose - This paper aims to study the main selection criteria for Islamic banks in Indonesia, and to compare them with those for conventional banks. Research Design, Data, and Methodology - This study employs an exploratory approach and a natural experimental design with Factor Analysis and two independent sample tests as statistical analysis methods. A total of 363 questionnaires were distributed to three groups of bank customers-customers of Islamic and conventional banks individually, and those of both banks together (121 respondents in each group). Results - The research shows that service appears to be the most important factor in selecting Islamic banks, in addition to other emotional and rational factors. However, this service cannot be expressed as the Islamic banks' advantage compared to conventional banks, because the latter's customers also perceived service as the most important factor. The parametric mean of importance of service for both Islamic and conventional banks' customers is insignificantly different. Conclusion - Customers of both conventional and Islamic banks have a similar degree of importance for convenience, price, and service.

• 복식문화연구
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• 제9권6호
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• pp.807-817
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• 2001

The purpose of this study was to examine the consumer's importance of store attributes and store choice behavior according to the shopping orientations and gender. The data were collected via a questionnaire from students who were attending in Semyung University in Chechoen. The results were analyzed by factor analysis, Cronbach's alpha, cluster analysis, χ²-test, Duncan-test, ANOVA, t-test and multiple regression. The results of this study were as follows; 1 . According to the shopping orientations, consumers were classified into six groups. Each group differed in perferring store attributes and store choice behavior. 2. The significant differences were found in the importance of store attributes and shopping orientations according to the gender. 3. Additionally, importance of store attributes were affected by gender and shopping orientations.

• 한국조경학회지
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• 제28권4호
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• pp.125-131
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• 2000

In order to collect basic data for the plan, design, and improvement of teenager leisure space as well as to contribute to the preparation of various youth leisure spaces, this study is to examine and analyze leisure space planning factors under the consideration of leisure patterns changing rapidly in youth activities. We used sufficient amount of questionnaires and a physical environment analysis at downtown parks and Tongdaemun fashion complexes where various leisure activities of teenager are happened. In addition, an importance and performance analysis was attempted on planning factors of each derived leisure space. on sequently, effective and efficient preparation of youth leisure space for desirable youth leisure activities should be carried out after finding out characteristics of teenager leisure spaces, deriving and integrating suitable planning factors for each characteristics, and finally adapting such derived planning factors by performance and importance. The future space for youth leisure should be improved and prepared after mature consideration about importance and performance of planning factors, which are suited for leisure patterns and characteristics of teenager leisure spaces.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권3호
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• pp.210-214
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• 2002

Association rule mining is an exploratory learning task to discover some hidden dependency relationships among items in transaction data. Quantitative association rules denote association rules with both categorical and quantitative attributes. There have been several works on quantitative association rule mining such as the application of fuzzy techniques to quantitative association rule mining, the generalized association rule mining for quantitative association rules, and importance weight incorporation into association rule mining fer taking into account the users interest. This paper introduces a new method for generalized fuzzy quantitative association rule mining with importance weights. The method uses fuzzy concept hierarchies fer categorical attributes and generalization hierarchies of fuzzy linguistic terms fur quantitative attributes. It enables the users to flexibly perform the association rule mining by controlling the generalization levels for attributes and the importance weights f3r attributes.

• 한국의류산업학회지
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• 제2권5호
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• pp.391-397
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• 2000

The purpose of the present research is to determine, for a sample of female college students, the effects of body-cathexis and importance of ideal body image on satisfaction with ready-to-wear. The sample included 177 female college students aged from 18 to 25. To measure the variables, an instrument was developed based on previous studies. Body-cathexis and importance of meeting the ideal body image were measured for five areas of body parts; head/upper body, lower body, height, weight, and torso. Satisfaction with ready-to-wear includes satisfaction with the fit at pant length, thighs, hips, waist, bust, and neckline, and with the variety in ready-to-wear. Research hypotheses were tested using multiple regression. The results showed that there was a positive impact of body-cathexis for a specific body area on ready-to-wear satisfaction which is related to the body area. The effect of importance of meeting the ideal body image on ready-to-wear clothing was different in regard to different areas of body parts.

• Communications for Statistical Applications and Methods
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• 제10권1호
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• pp.239-246
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• 2003

Statisticians, or data miners, are often requested to assess the importances of input variables in the given supervised learning model. For the purpose, one may rely on separate ad hoc measures depending on modeling types, such as linear regressions, the neural networks or trees. Consequently, the conceptual consistency in input variable importance measures is lacking, so that the measures cannot be directly used in comparing different types of models, which is often done in data mining processes, In this short communication, we propose a unified approach to the importance measurement of input variables. Our method uses sensitivity analysis which begins by perturbing the values of input variables and monitors the output change. Research scope is limited to the models for continuous output, although it is not difficult to extend the method to supervised learning models for categorical outcomes.

• 한국의류학회지
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• 제20권5호
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• pp.877-892
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• 1996

The purpose of this was to test the interactive effects of usage situation and personal characteristics on perceived risk, importance of store attributes and store-type choice. The data were collected via a questionnaire from 601 housewives of ages 20's∼ 50's living in Seoul, Korea, and analyzed by factor analysis and repeated measure two-way ANOVA. The results of this study were as follows: First, the interactive effect of age and situation on economic risk was significant. Second, the significant infraction of age and situation on importance of product price/variety was found, and there were significant intractions of education and situation on importance of service/convenience, discount policy and product information sources/promotion. Third, the interactive effects of situation and personal characteristics (age, income, education or job) on store-type choice (brand chain store, discount store, department store, designer boutique, local store or a wholesale market) were significant.