• 한국멀티미디어학회논문지
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• 제9권2호
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• pp.151-159
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• 2006

정보검색이나 언어번역에서의 복합명사는 사전 미등록 명사에 대한 처리에 크게 영향을 받는다. 한국어 복합명사는 그 구조가 한자어에 의해 파생한 것이 대부분으로 단위명사간 조합시 선호하는 음절이 존재한다. 이를 복합명사의 분해규칙으로 이용할 수 있다. 본 논문에서는 음절간 선호도를 이용하여 사전 미등록 복합명사에 대한 분해 방법을 제안한다. 사전 미등록 복합명사를 제안한 방법으로 분해한 결과 분해 정확률은 88.49%로서 기존의 방법보다 우수한 분해율을 보이고 있다.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2000년도 춘계정기학술대회 e-Business를 위한 지능형 정보기술 / 한국지능정보시스템학회
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• pp.187-196
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• 2000

A lot of Internet shopping malls strive for obtaining a competitive advantage over others in an increasingly tighter electronic marketplace. To this end, understanding customer preference toward products (or services) and administering appropriate marketing strategy is essential for their continuous survival. However, only a few marketing researchers and practicioners focused on this issue, compared with academic and industry efforts devoted to traditional market segmentation. In this paper, we suggest a methodology of conjoint segmentation for electronic shopping malls. Traditional market segmentation methodologies based on customer's profile sometimes fail to utilize abundant information given while navigating around cyber shopping malls. In this methodology, we do not impose information overload to the customer for preference elicitation, but this methodology, we do not impose information overload to the customer for preference elicitation, but capture automatically generated surfing or buying data and analyze them to get useful market segmentation information. The methodology consists of 4-stages: 1) analyzing legacy homepages, 2) data preparation, 3) estimating and interpreting the result, and 4) developing marketing mix. Our methodology was to give useful guidelines for market segmentation to companies working in the electronic marketplace.

• 한국멀티미디어학회논문지
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• 제7권3호
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• pp.418-426
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• 2004

본 논문에서는 음절간 상호정 보를 이용하여 한국어 복합명사의 역방향 분해 알고리즘을 제 안한다. 한국어 복합명사는 그 구조가 한자어에 의해 파생 한것이 대부분이며 음절 상호간 선호 음절이 존재하므로, 이 정보와 접사정보를 복합명사의 분해규칙으로 이용한다. 성능을 평가하기 위해 36061개의 복합명사를 이용하여 본 논문에서 제안한 알고리즘의 분해한 결과 99.3%의 분해 정확율을 얻었다. 실험과 관련한 기존 알고리즘간의 비교에서도 우수한 결과를 얻었으며, 특히 4음절과 5음절 복합명사의 경우 대부분 정확한 분해 결과를 얻었다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권3호
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• pp.306-310
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• 2004

This paper suggests a reverse segmentation algorithm using affix information and some preference pattern information of Korean compound nouns. The structure of Korean compound nouns is mostly derived from Chinese characters, and it includes some preference patterns utilized as a segmentation rule in this paper. To evaluate the accuracy of the proposed algorithm, an experiment was performed with 36,061 compound nouns. The experiment resulted in getting 99.3% of correct segmentation and showed excellent satisfactory results from the comparative experimentation with other algorithms. Especially, most of the four-syllable or five-syllable compound nouns were successfully segmented without fail.

• 한국의류학회지
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• 제34권10호
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• pp.1611-1620
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• 2010

This research compares the difference of each preference segments' subjective hands and sensibilities in order to analyze the correlations among preference, subjective hands, and sensibilities. Preference segments were classified into wool, acrylic, and long stitch length-preferred clusters in previous research. To evaluate the subjective hands and sensibilities of knit fabrics, the 20's and 30's women rated twelve knit fabrics by touching, using a questionnaire with a seven-point semantic differential scale. These twelve knit fabrics were differentiated by controlling the mixture ratio and stitch length using a computer-controlled automatic flat knit machine. The difference of each preference segments' subjective hands and sensibilities was determined using the conjoint analysis. The clusters perceived the subjective hands and sensibilities differently according to preferred constituent characteristics. There was no correlation between surface unevenness and preference in wool-preferred cluster, while there were negative correlations in other clusters. The acrylic-preferred cluster had a preference in coolness compared to other clusters; in addition, the long stitch-preferred cluster preferred flexibility/bulkiness and extensibility than the others. All clusters preferred modem and natural sensibilities that were caused by different constituent characteristics of knit fabrics.

• 대한가정학회지
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• 제49권1호
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• pp.93-106
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• 2011

The purposes of this study were to segment female consumers on the basis of their clothing image preference, and to investigate the clothing purchasing behaviors of each segmented market. The research method was a questionnaire survey and participants were 700 women aged from 20's to 60's in Daejeon and Chungnam province. The questionnaire consisted of items for clothing image preference, clothing purchasing behaviors and the participants' demographic characteristics. The data were analyzed by Cronbach's ${\alpha}$, factor analysis, cluster analysis, ${\chi}^2$ test, ANOVA and the Scheff$\'{e}$ test. The results were as follows. Female consumers were divided into 7 types(sophisticated, natural, characteristic, elegant, active, feminine, and neat type) by clothing image preference. The 7 segmented market groups differed in many ways in terms of demographic characteristics and various clothing purchasing behaviors(clothing selection criteria, purchasing motives, fashion information sources, places of purchase, shopping frequency, and quantity and cost of purchases). The results of this study supported the view that clothing image preference can be a useful and effective variable for female market segmentation.

• 한국병원경영학회지
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• 제10권4호
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• pp.75-97
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• 2005

The research objective is to empirically investigate the compensation packages maximizing the utilities of internal customers by applying the market segmentation theory. Data was collected from four Korean hospitals in Seoul, Busan and Gyunggi-do. The research is designed to seek the compensation package maximizing the utility of doctors by mixture regression model, which has been applied as latent structure and other type of finite mixture models from various academic fields since early 1980s. The mixture regression model shows the optimal segments number and fuzzy classification for each observation by EM(expectation-maximization algorism). The finite mixture regression model is to unmix the sample, to identify the groups, and to estimate the parameters of the density function underlying the observed data within each group. The doctors were segmented into 5 groups by their preference for the compensation package. The results of this study imply that the utility of doctors increases with differentiated compensation package segmented by their preference.

• 한국지역사회생활과학회지
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• 제21권2호
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• pp.163-177
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• 2010

The purpose of this study is to examine the difference between service quality satisfactions according to tourists' preference and segmentation by various motivations. Data were collected from 442 farm stay visitors by field surveys in rural areas. A factor-clustering method identified three distinct segments; want-it-all, overall low motivation, relaxation. MANOVA was used to examine the differences of service quality satisfaction for farm stay visitors' preference and segmentation by motivation. Results show that the type of guest room more significantly influenced farm stay visitors' satisfaction according to those three clusters. It should be noted that we have information on the characteristics and type of satisfaction of the consumers in order to improve the quality of farmstay's service in rural tourism.

• 한국병원경영학회지
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• 제6권3호
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• pp.90-108
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• 2001

This research examines the compensation package maximizing the utilities of internal customers by applying the market segmentation theory. Data were collected from four Korean hospitals in Seoul, Pusan and Kyunggi-do. The research is designed to seek the compensation package maximizing the utility of doctors and nurses by applying the market segmentation theory. The compensation package for doctors and nurses was classified into 5 attributes which are level of salary, payment method, education, promotion, reward method. The test results were as follows. First, the relative importance of each attribute in the compensation package is different. The level of salary is the most important, reward method is the next. Second, the utility of doctors increases by 8.7%, when they are segmented on the basis. of their preference for compensation attributes while that of nurses increases by 39.8%. The results of this study imply that the utility of doctors and nurses increases with differentiated compensation package for internal customer segmented by their preference.

• 한국멀티미디어학회논문지
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• 제24권7호
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• pp.966-978
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• 2021

This thesis provided basic data of the domestic leggings industry. For the purpose of comparative analysis, the sales status and consumer preference status of domestic leggings brands were selected, and the three companies, X*xymix, A*dar, and M*laware, which occupy the top positions by domestic leggings brand rankings Therefore, from 2018 to 2020, the market size of leggings items is identified with reference to the sales status and consumer preference status data, and the status of consumer preference is analyzed. As a result of the survey analysis, X*xymix, A*dar, and M*laware, which rank high in consumer preference, operate a separate men's leggings line from leggings targeting young women who mainly focus on yoga, pilates, and fitness exercises. As the age increased, the demand for leggings expanded to the middle-aged. Therefore, it is believed that the segmentation of leggings is made according to the diversifying types of exercise, and as the age group in demand for leggings is expanded, continuous research on market segmentation for aqua leggings necessary for aqua exercise that can exercise without straining the body.