• Journal of Korean Society of Transportation
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• v.26 no.1
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• pp.145-153
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• 2008

Existing shortest-path algorithms mainly consider a single attribute. But traveler actually chooses a route considering not single attribute but various attributes which are synthesized travel time, route length, personal preference, etc. Therefore, to search the optimal path, these attributes are considered synthetically. In this study route searching algorithm which selects the maximum utility route using discrete choice model has developed in order to consider various attributes. Six elements which affect route choice are chosen for the route choice model and parameters of the models are estimated using survey data. A multinomial logit models are developed to design the function of route choice model. As a result, the model which has route length, delay time, the number of turning as parameter is selected based on the significance test. We use existing shortest path algorithm, which can reflect urban transportation network such as u-turn or p-turn, and apply it to the real network.

• The Journal of the Korea Contents Association
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• v.16 no.2
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• pp.365-373
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• 2016

The purpose of this research was made to see how Chinese tourists change their destination according to their travel motivation and what affects on their satisfaction. The result follows as below. First, there is partially difference in choosing destination according to their motivation. Secondly, travel motivation affects their satisfaction partially in positive way. The results of this research can be found in what was the significance empirically analyze the relationship between Chinese tourists in the tourist motivation and choice properties, satisfied. Implications through the study is as follows. First, specialized travel destinations must be developed and constructed to increase number of Chinese tourists. Second, oreover, contents that match with their travel motivation must be developed to improve Chinese tourist's satisfaction.

• Journal of KIISE:Software and Applications
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• v.31 no.12
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• pp.1684-1690
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• 2004

This paper presents a method for classifier selection that uses distribution information of the training samples in a small region surrounding a sample. The conventional DCS-LA(Dynamic Classifier Selection - Local Accuracy) selects a classifier dynamically by comparing the local accuracy of each classifier at the test time, which inevitably requires long classification time. On the other hand, in the proposed approach, the best classifier in a local region is stored in the FSA(Feature Space Attribute) table during the training time, and the test is done by just referring to the table. Therefore, this approach enables fast classification because classification is not needed during test. Two feature space attributes are used entropy and density of k training samples around each sample. Each sample in the feature space is mapped into a point in the attribute space made by two attributes. The attribute space is divided into regular rectangular cells in which the local accuracy of each classifier is appended. The cells with associated local accuracy comprise the FSA table. During test, when a test sample is applied, the cell to which the test sample belongs is determined first by calculating the two attributes, and then, the most accurate classifier is chosen from the FSA table. To show the effectiveness of the proposed algorithm, it is compared with the conventional DCS -LA using the Elena database. The experiments show that the accuracy of the proposed algorithm is almost same as DCS-LA, but the classification time is about four times faster than that.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.1
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• pp.76-86
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• 2006

다양한 데이터 마이닝 기법들의 발전과 더불어, 속성(Feature 또는 Attribute)의 범위(Dimension)를 줄이기 위해 많은 요소 선택 방법이 개발되었다. 이는 확장성(Scalability)을 향상시킬 수 있고 학습 모델(Learning Model)을 더욱 쉽게 해석할 수 있도록 한다. 이 논문에서는 네스티드 분할(Nested Partition, 이하 NP)을 이용한 새로운 최적화 기반 속성 선택 방법을 NP 기본 구조와 다양한 실험 문제의 수치적 결과들과 함께 제시하여 어떻게 NP의 최적화 구조가 속성 선택 과정에 기여를 하고 있는지 보여준다. 그리고 이 새로운 지능적인 분할 방법이 어떻게 매우 효율적인 분할을 수행하는지를 제시한다. 이 새로운 속성 선택 방법은 필터(Filter)방법과 래퍼(Wrapper)방법 두 가지로 구현될 수 있다. 사례 연구로서, B2B e-비즈니스 시스템에서 효과적으로 사용될 수 있는 추천 시스템(Recommender System)을 제안하였다. 이 추천 시스템은 분류 기법(Classification Rule)과 제시된 NP 기반 요소 선택 방법을 사용하고 있다. 이 추천 시스템은 사용자의 인터넷 경매 참여를 추천하는데 사용되며, 이 때 제안된 요소 선택 앨고리듬은 추천 규칙들이 쉽게 이해될 수 있도록 모델을 간략화 하는데 사용된다.

• Culinary science and hospitality research
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• v.21 no.4
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• pp.221-235
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• 2015

The purpose of this study is to provide evidence concerning the effects of selection attributes of bakery cafe and customer behavior intention through empirical analysis. Current study literary supported by previous studies that conducted to concepts such as selection attributes, customer behavioral intention, and based on research result, devised theoretical model combining each relation. For the empirical study, in addition, data were collected from customers who have been visited at bakery cafe located in Seoul, Busan, Gwangju, and Daegu. Total of 312 valid questionnaires are statistically analyzed to achieve the study objective. Frequency analysis, factor analysis, cross analysis, cluster analysis and ANOVA test were employed for statistical examination. Results show that bakery cafe marketers need to allocate resources of cafe by considering different attributes selection factors. Present study will be contributed to develop strategical implications to determine which selection attributes should be emphasized to attract more customers and to satisfy bakery cafe visitors.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.61-74
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• 2019

The purpose of this study is to examine women's propensity to consume cosmetics and to investigate the effects of the consumption propensity on product selection attributes and information search behaviors. The purpose of this study is to propose practical implications for corporate management and to provide useful information for setting the marketing direction in the cosmetics industry by identifying differentiated marketing strategy for the cosmetics market. The results of the study are as follows. When the factors of each variable are extracted, the shopping propensity was derived from trend pursuit, pleasure pursuit, show-off pursuit, and economic benefit pursuit propensities, while product selection attributes were derived from brand factor, service factor, marketing factor, and quality factor. To examine the relationship between variables, three hypotheses were set based on previous studies. As a result of the verification the followings were found; first, the consumption propensity has a partial effect on the product selection attributes. Second, consumption propensity has a partial effect on information search behavior. Product selection attributes were found to have a partial effect on information search behavior.

• Journal of Korean Society for Quality Management
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• v.45 no.1
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• pp.55-64
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• 2017

Purpose: A large number of attributes with mixed levels are often considered in the conjoint analysis. The respondents may have difficulty with scoring their preferences accurately because of many attribute items involved in each survey question. We research on the technique for reducing the number of attribute items. Methods: In order to reduce the number of attribute items in a survey question, we make a new attribute by merging two original attributes. A 'No question' option is also included as a new level in a merged attribute. Results: We propose BIB $6^4$ design in the case where we have four attributes with 2 levels and 3 levels, respectively and then analyze all the respondents survey data generated by the repeated simulation study in order to compare various model selection methods. Conclusion: How to reduce the number of attribute items is proposed and how to design and analyze the survey data are illustrated.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.2
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• pp.159-178
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• 2009

The purpose of the current study was to evaluate the importance-performance levels for the selection attributes of spa destination and to analyze the gap between importance levels of the selection attributes. The data were collected from the spa visitors to Yuseong spa complex. The findings of the current study were as belows: 1. as the results of factor analysis of 32 selection attributes, five factors were generated, such as "spa and supporting facilities", "surrounding conditions around spa resort", "friendship and the intention of recommendation", "spa water" and "fees of spa entry". 2. the mean analysis showed the statistically significant difference among the selection attributes for importance-performance levels and the mean levels of five factors were rank-ordered as in "spa and supporting facilities", "friendship and the intention of recommendation", "fees of spa entry", and "surrounding conditions around spa resort", "spa water". 3. as the results of IPA, the selection attributes were distributed as belows: 9 attributes were located in I (Keep up the Good Work), 4 attributes were located in II (Possible Overkill), 7 attributes were located in III (Concentrate Here). and 12 attributes were located in IV (Low Priority).

• Journal of Digital Convergence
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• v.14 no.2
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• pp.19-30
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• 2016

Domestic and foreign tourists to visit the Baekdudaegan are increasing every year. The purpose of this study is to promote regional development in the Baekdudaegan and to improve the satisfaction of the people who visit the Baekdudaegan area recognized in underdeveloped area. It surveyed the age of 19 years old. Analysis of the factors of selection attributes importance and satisfaction, and the group was separated through cluster analysis. It analyzed a significant difference in the degree of revisit intention and intention of recommendation by cluster groups. They were divided into four groups, according to the selection attributes importance and satisfaction. Groups showed significant differences in the degree of revisit intention and intention of recommendation. The environment elements importance and satisfaction have affected revisit intention and intention of recommendation. It has found out that environment elements have an important factor in selecting the destination and these selection attributes satisfactions have a positive influence on future behavior intention.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.229-238
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• 2015

This study is to look into importance and achievement on awareness of creative musical audiences, who use SNS, by the use of Importance Performance Analysis(IPA), and to find ways to improve the recognition of creative musical by performance enterprise. In other words, the study is to discover choice attributes, that need to be urgently improved, which importance is rated high but which achievement is rated low. As a result, it is learned that composition of content(memorable dialogue), admission fee(ticket prices, charges of using additional facilities), theater(parking), composition of stage(acoustics of the stage), staff services(ticket box staff, usher, and etc. are should be properly controlled by staff expertise) need to be consistently improved. In addition, it is learned for SNS non-user group that choice items such as creative musical choice attribute(admission fee), composition of stage(acoustics of the stage), production(overall music from a musical), admission fee(ticket prices, charges of using additional facilities), and theater(parking) need to be improved.