• Journal of KIISE:Software and Applications
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• v.29 no.4
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• pp.248-257
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• 2002

Clustering is a method for grouping objects with similar properties into a same cluster. SVD(Singular Value Decomposition) is known as an efficient preprocessing method for clustering because of dimension reduction and noise elimination for a high dimensional and sparse data set like E-Commerce data set. However, it is hard to evaluate the worth of original attributes because of information loss of a converted data set by SVD. This research proposes a cluster feature selection method, called ENTROPY-SVD, to find important attributes for each cluster based on entropy weighting and SVD. Using SVD, one can take advantage of the latent structures in the association of attributes with similar objects and, using entropy weighting one can find highly dense attributes for each cluster. This paper also proposes a model-based collaborative filtering recommendation system with ENTROPY-SVD, called CFS-CF and evaluates its efficiency and utilization.

• Korean journal of food and cookery science
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• v.33 no.2
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• pp.228-236
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• 2017

Purpose: This study investigated beef restaurant's selection attributes using conjoint analysis in order to provide useful information to marketers and managers. Methods: A total of 320 questionnaires were distributed to consumers who visited a beef restaurant in August 2016, and 284 were completed (96.90%). Statistical analyses of data were performed using SPSS/Windows 22.0 for descriptive statistics and conjoint analysis. Results: The results of this study demonstrate the relative importance and level of each attribute for selecting beef restaurants. Price showed the greatest importance (34.86%), followed by origin of beef (27.52%), level of support services (25.72%), and variety of side dishes (11.90%). The optimum attribute combination was various side dishes (0.059), Korean beef (0.385), Very high service level (-0.291), and price of 8,000 won (-0.782). The most preferred beef restaurant gained 37.60% potential market share from choice simulation. There were significant differences in importance of attributes related to age of respondents. For respondents in their 20s and older than 50s, the first consideration was price. Respondents in their 30s considered the level of support services first while those in their 40s considered origin of beef first. Importance of attributes based on companion of respondents revealed that all respondents considered price first. Conclusion: This study contributes to development of marketing plans based on a customer's involvement level focusing on their primary selection criteria when choosing a beef restaurant. Additionally, marketers who manage beef restaurants can estimate the market share of imaginary beef restaurants from these results.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.587-595
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• 2018

This research aims to analyze the importance-performance among multiplex cinema selection attributes. Therefore, we collected data for visitors who visited the multiplex cinema and want to watch movies. Of the various multiplex cinema selection attributes, four factors were deduced that includes: major services, human services, physical environment, auxiliary services using exploratory factor analysis. In the quadrant I, the area of 'Concentrate Here' was 'diversity of screening time', 'diversity of movie genre', 'convenience of mobile app use', 'size and convenience of parking facility'. In the quadrant II, 'Keep up the Good Work' area was 'convenience of website booking', 'discounts through card partnerships', 'employee friendliness', 'accurate employee information delivery', 'comfortable seating', 'screen size', 'cinematic sound quality', and 'convenience of traffic' etc. The quadrant III, 'Low Priority' appeared to be 'membership system', 'tidiness of staff attire', 'resting space for waiting time', 'accessibility to the neighboring area', 'diversity of the snack corner', and 'overall cleanliness' etc. The quadrant IV, 'Possible Overkill' was 'appropriateness of the auditorium temperature' and 'service proficiency'.

• Culinary science and hospitality research
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• v.16 no.5
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• pp.79-91
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• 2010

The purpose of this study is to investigate selection attributes of Korea and China restaurants in China. By a convenience sampling method, total 479(245 China restaurants and 234 Korea restaurants) useable data were selected. Multiple statistical methods(factor analysis, reliability analysis, T-test, multiple regression) were used to analyze the data. The results are as follows: First, restaurant satisfaction is affected by selection restaurant attribute factors. Second, restaurant satisfaction bas a significant impact on customer loyalty. Third, Korea and China restaurants have differences in customer satisfaction. Fourth, Korea and China restaurants have differences in customer loyalty.

• Culinary science and hospitality research
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• v.19 no.2
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• pp.52-64
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• 2013

The purposes of the study were (1) to identify the market segments of home meal replacement(HMR) consumers based on purchasing selection attributes and (2) to investigate demographic characteristics and purchasing behaviors unique to each segmented market. A total of 266 responses were used for data analysis using SPSS 19.0. Data analyses included frequency analysis, chi-square analysis, factor analysis, cluster analysis, MANOVA, and discriminant analysis. The result of the factor analysis showed four important dimensions in selection attributes: food quality, design, convenience, and accessibility. The results of the cluster analysis identified two HMR market segments, namely, highly involved HMR consumers and lowly involved HMR consumers. Highly involved HMR consumers considered all the selection dimensions more important than lowly involved HMR consumers. In addition, these two groups showed different demographic characteristics and purchasing behaviors. Managerial implications were provided.

• Culinary science and hospitality research
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• v.19 no.5
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• pp.296-311
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• 2013

This study aims to show basic data to build suitable marketing strategies for consumers by determining the motivation and selection attributes of HMR according to their lifestyles. A survey was conducted from March 1st to March 30th, 2013, and total 362 out of 450 copies of questionnaire were used for analysis. The results are as follows. First, it showed that the pursuit of health in lifestyle had a significant effect on usefulness and economical efficiency. Next, the pursuit of health was analyzed not to have a significant effect on HMR quality and convenience. Third, usefulness and economical efficiency in the category of motives for purchasing HMR didn't have any significant effect on repurchase intention. Finally, HMR quality and convenience in the selection attributes of HMR had a significant effect on repurchase intention.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.275-282
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• 2020

As interest in the high-potential Chinese beauty market is growing, understanding the disposition of Chinese consumers different from Korea is becoming more important for successful entry into the Chinese market. This study attempted to compare differences in beauty shop selection attributes between Korean and Chinese consumers. In order to achieve this research purpose, the beauty shop selection attribute was classified into five components: environmental attribute, structural attribute, external attribute, awareness, and service attribute. Survey responses were collected from 162 Chinese and 111 Koreans, respectively, and empirical analysis was conducted. Both Chinese and Koreans had significant relationships between environmental attribute, service attribute and satisfaction, but the relationship between the remaining attributes and satisfaction were not significant. In addition, significant differences exist between Chinese and Koreans in the relationship between environmental attribute, service attribute and satisfaction. The results of this study can help companies to establish and operate a higher quality beauty shop based on understanding the situation and characteristics of each country in the fierce competition in the beauty market.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.101-106
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• 2023

Chronic illnesses are among the most common serious problems affecting human health. Early diagnosis of chronic diseases can assist to avoid or mitigate their consequences, potentially decreasing mortality rates. Using machine learning algorithms to identify risk factors is an exciting strategy. The issue with existing feature selection approaches is that each method provides a distinct set of properties that affect model correctness, and present methods cannot perform well on huge multidimensional datasets. We would like to introduce a novel model that contains a feature selection approach that selects optimal characteristics from big multidimensional data sets to provide reliable predictions of chronic illnesses without sacrificing data uniqueness.[1] To ensure the success of our proposed model, we employed balanced classes by employing hybrid balanced class sampling methods on the original dataset, as well as methods for data pre-processing and data transformation, to provide credible data for the training model. We ran and assessed our model on datasets with binary and multivalued classifications. We have used multiple datasets (Parkinson, arrythmia, breast cancer, kidney, diabetes). Suitable features are selected by using the Hybrid feature model consists of Lassocv, decision tree, random forest, gradient boosting,Adaboost, stochastic gradient descent and done voting of attributes which are common output from these methods.Accuracy of original dataset before applying framework is recorded and evaluated against reduced data set of attributes accuracy. The results are shown separately to provide comparisons. Based on the result analysis, we can conclude that our proposed model produced the highest accuracy on multi valued class datasets than on binary class attributes.[1]

• The Journal of the Korea Contents Association
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• v.18 no.5
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• pp.647-659
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• 2018

'Waiting for a Thousand Years & Mingling with World People-Gangneung Danoje Festival 2017 as an Important Intangible Cultural Property' is the festival with the longest history in Korea. In spite of its historical value, however, there are not many academic researches on the value of festival brand equity. Thus, the objective of this study is to empirically analyze the influence relationship between selection attributes of festival storytelling, brand equity, brand attitude, and brand loyalty through the structural equation model. Regarding the spatial scope of thesis material, a survey was conducted focusing on 657 tourists visiting the Gangneung Danoje Festival. In the results of verifying the hypotheses in accordance with the structural equation model, the selection attributes of festival storytelling had effects on the brand equity, and the brand equity had effects on the brand attitude and brand loyalty while the brand attitude had effects on the brand loyalty. Based on such results of this study, the implications could be suggested as follows. First, the local contents culture should be developed together with local experts and residents by finding its local custom. Second, the brand equity that could prioritize the strategy of characteristics should be increased by emphasizing the selection attributes of storytelling. Third, the phased development should be achieved through local residents' open participation by dividing roles of experts and non-experts as festival manpower.

• Journal of the Economic Geographical Society of Korea
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• v.9 no.3
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• pp.358-378
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• 2006

This study aims to examine seven factors and forty-two selection attributes of Seoul as an Exhibition and Convention Destination Site through the Importance-Performance Analysis(IPA) from the Exhibition and Convention Planner. The result of this study shows these three conclusions. First, according to the result of the Importance-Performance Analysis(IPA) of the forty-two selection attributes of an Exhibition and Convention Destination Site, thirteen attributes were placed on the right top area(Keep Up the Good Work), four attributes were placed on the right bottom area(Possible Overkill), five attributes were located on the left top area(Concentrate Here), and the other twenty attributes were located on the left bottom area(Low Priority). Second, the Importance-Performance Analysis(IPA) of seven factors in an Exhibition and Convention Destination Site reveals that the factors in the right top area(Keep Up the Good Work) of high importance and high performance were "Exhibition and Convention Center Facilities", "Exhibition and Convention Fee", and "Exhibition and Convention Center Accommodation Capacity". And the one factor located on the left top area(Concentrate Here) of high importance and low performance was "Exhibition and Convention Destination Regional Space", while the other factors of "Exhibition and Convention Center Management", "Exhibition and Convention Destination Tourism Space" and "Exhibition and Convention Destination Leisure Activity Space" were placed on the left bottom area(Low Priority) of low importance and low performance. Third, the difference of the mean value of the Importance and Performance on Seoul as an Exhibition and Convention Destination Site has been revealed that the performance of the attributes was lower than the importance of the attributes because forty attributes have described all plus(+) except two attributes.