• Journal of the Korean Society of Clothing and Textiles
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• v.7 no.1
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• pp.17-25
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• 1983

The purpose of this study were to explore specific buying practices of college women and to determine if there were significant differences in shopping patterns between grade level. The participants consisted of 415 college women in grades freshmen through seniors. The data were collected by questionnaires. The statistical analysis of the obtained data included Caculation of the Frenquency Distribution and Chi-Square test. The specific findings of this study were as follows: 1. More than half of the students had purchasing dependence in their clothing purchase. 2. Most of the students planned their clothing purchase in advance, 3. College women interact minimally with sales people. They feel salespeople are not courteous and often dishonest in order to increase sales. They also feel that sales person does not have much knowledge about products. 4. Magazines and store displays affected college students clothing purchases more than other fashion stimulants. 5. Seniors had greater purchashing independence than freshmen. 6. Freshmen considered becoming-ness more important while seniors considered price more important in the selection of clothes.

• International Journal of Advanced Culture Technology
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• v.4 no.4
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• pp.70-74
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• 2016

Electronic commerce (E-commerce) using virtual reality (VR) has the advantage of being able to purchase products without restrictions of time and location by overcoming the limitations of existing offline transactions. It is still a rudimentary but fast growing technology, and the use of E-commerce in VR is expanding. The barriers that consumers might face in utilizing E-commerce in VR is the relevance to Information and Communications Technologies (ICT) technology. Fundamentally, it requires Internet access and use through PCs or mobile devices such as smart phones. Because unlike off-line markets, it is difficult to determine the purchase patterns of customers, customer purchasing behavior analysis must be done using computer access records. In order to expand and develop E-commerce in VR in the future, learning ability should be improved through combining with artificial neural network by deep learning that is recently in the spotlight, and the ability to overcome errors need to be improved to enable use in various fields.

• Fashion & Textile Research Journal
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• v.21 no.6
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• pp.830-836
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• 2019

A diverse range of products are currently being sold; however, it is very difficult to purchase All-in-One patterns that reflect the body types of the elderly stage in the open market. This study is to develop specialized All-in-One patterns by assessing obese body types characteristics of the elderly social class. Five healthy women with typical obese body types in the elderly stage with busts, waists, and hips surpassing 100 cm were chose as test subjects. The three subjects for the wearing experiment are those with more than one year of experience wearing a bodysuit. A self-evaluation was made three times by looking in the mirror. The data from this study was processed to find averages and deviations; in addition, and a t-test was performed using the SPSS 24 statistical software. A total of 13 body parts were measured prior to and while wearing the specialized All-in-One patterns. Significant results were obtained from all 12 items. All-in-One for research appears to have produced a high level of satisfaction for subjects. This study can provide basic data on elevating the levels of satisfaction of the consumers in their elderly stages with special body types that deviate from standard body types at the time of wearing garments as well as for inner-wear companies to graft this market as a high-value-added niche market.

• The KIPS Transactions:PartD
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• v.18D no.2
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• pp.81-88
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• 2011

Sequential pattern mining that determines frequent patterns appearing in a given set of sequences is an important data mining problem with broad applications. For example, sequential pattern mining can find the web access patterns, customer's purchase patterns and DNA sequences related with specific disease. In this paper, we develop the sequential pattern mining algorithms using MapReduce framework. Our algorithms distribute input data to several machines and find frequent sequential patterns in parallel. With synthetic data sets, we did a comprehensive performance study with varying various parameters. Our experimental results show that linear speed up can be achieved through our algorithms with increasing the number of used machines.

• Journal of Fashion Business
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• v.15 no.2
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• pp.23-38
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• 2011

This research is to examine the formative of patterns and characteristics of expression in Danzhai Miao batik of Guizhou China and to reveal the cultural factors and characteristics of artistic expression inherent to it. As the research methodology, theoretical study was done by utilizing the preceding research data, literature data at home and abroad, photo data, and Internet data, and as the empirical research, field trip was made to Guizhou China and investigation and experiment of dyeing techniques, purchase of dyeing craftworks, photography shooting, and interviews were conducted. The results of this research showed that ancient Chinese batik began in Miao in the Jinhan era and the three types of Miao's traditional batik, i.e. Danzhai batik, Huangping batik, Anshun batik. Danzhai Miao batik obtained indigo blue white patterns through traditional production techniques and natural dyeing batik and represented Miao batik of Guizhou. In the expression of Danzhai Miao batik, based on the cultural backgrounds, the formative such as symbolic of patterns, tradition, primitive, reality, abstract, and decorative of dress designs and high dignity of artistry of creative batik patterns be found from the aspect of expressing magnanimous nationality.

• Journal of KIISE:Software and Applications
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• v.32 no.2
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• pp.75-84
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• 2005

Sequential pattern mining is an important data mining problem with broad applications. While the current methods are generating sequential patterns within a single attribute, the proposed method is able to detect them among different attributes. By incorporating these additional attributes, the sequential patterns found are richer and more informative to the user This paper proposes a new method for generating multi-dimensional sequential patterns with the use of Hellinger entropy measure. Unlike the Previously used methods, the proposed method can calculate the significance of each sequential pattern. Two theorems are proposed to reduce the computational complexity of the proposed system. The proposed method is tested on some synthesized purchase transaction databases.

• The Journal of Information Systems
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• v.22 no.3
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• pp.25-42
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• 2013

Recently various kinds of Information Technology services are created and the quantities of the data flow are increase rapidly. Not only that, but the data patterns that we deal with also slowly becoming diversity. As a result, the demand of discover the meaningful knowledge/information through the various mining analysis such as linkage analysis, sequencing analysis, classification and prediction, has been steadily increasing. However, solving the business problems using data mining analysis does not always concerning, one of the major causes of these limitations is there are some analyzed data can't accurately reflect the real world phenomenon. For example, although the time gap of purchasing the two products is very short, by using the traditional sequencing analysis, the precedence relationship of the two products is clearly reflected. But in the real world, with the very short time interval, the precedence relationship of the two purchases might not be defined. What was worse, the sequence of the purchase intention and the sequence of the purchase realization of the two products might be mutually be reversed. Therefore, in this study, an expanded sequencing analysis methodology has been proposed in order to reflect this situation. In this proposed methodology, the purchases that being made in a very short time interval among the purchase order which might not important will be notice, and the analysis which included the original sequence and reversed sequence will be used to extend the analysis of the data. Also, to some extent a very short time interval can be defined as the time interval, so an experiment were carried out to determine the varying based on the time interval for the actual data.

• Journal of the Korean Society of Costume
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• v.62 no.1
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• pp.104-119
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• 2012

Fashion cultural products represents cultural trend, and they are produced a lot in Korea to express the Korean culture and style. They are also tools that embody images of Korea. This study mainly focuses on the Korean traditional-patterned ornaments as fashion cultural products. Therefore, this study aims at developing a framework of consumers' attitudes and consumption behaviors about Korean traditional-patterned ornaments, examining how the characteristics are changed according to shopping orientation. For this purpose, a quantitative survey was carried out using 455 questionnaires from women in their 20s and over. The data were analyzed using frequency analysis, factor analysis, t-test, ANOVA, cluster analysis, and $x^2$-test. Findings of this study were as follows. First, half of the respondents were found to possess Korean traditional-patterned ornaments. However, consumers had positive attitudes and tend to purchase them for their own use rather than gifts, demonstrating that the potential for the market is large enough. Second, in accordance with their shopping orientation, consumers were sub-divided into four groups: trend/brand oriented, practicality/pleasure oriented, convenience oriented, and passive shoppers. The trend/brand oriented group showed highest levels of preference regarding purchase intentions of Korean traditional-patterned ornaments. This group also showed the strongest purchasing power on fashion items among the four groups. Third, this study presented animal, plant, geometric and abstract patterns to the respondents to examine their attitudes. It was found that consumers prefered plant-patterned ornaments rather than the others, demonstrating that they have stronger preference and purchase intention toward ornaments with more natural images.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.83-91
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• 2016

The purpose of this study is to analyze the difference of environmental consciousness and its influence on the eco-friendly products purchase intention by the undergraduates' lifestyle patterns. The results of this analysis are as follows. First, the health orientation lifestyle of the undergraduates showed the high significant level to both cognition of environmental performance and environmental protection. However, both self pursuit and positive action lifestyle showing the low significant level were rejected. Second, the high environmental protection lifestyle of the undergraduates showed high significant level. This study shows that the health orientation lifestyle undergraduates are high environmental consciousness, and also they show high purchase intention of eco-friendly products.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.1
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• pp.45-57
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• 2022

A rash guard, also known as rash vest or rashie, is functional sportswear that protects the wearer's skin from various dangers during outdoor sports activities. It is durable and comfortable since it is designed considering muscle movement. In modern society, more and more people enjoy leisure activities due to an increase in income level and increased leisure hours. Water leisure activities are increasingly enjoyed in the summer. As the way people think of leisure evolves, people are more inclined toward dynamic leisure sports rather than static facility tourism. Therefore, more research on rash guards is required. By identifying and analyzing the design preferences and purchase behaviors of young adults on rash guards, this study aims to provide basic data on the actual sportswear behaviors concerning those who are most active in water sports, people in their 20s and 30s. Furthermore, the study aims to contribute to a healthy exercise lifestyle for women who enjoy water sports and the growth of the water sportswear market. In the study, a survey was conducted using a questionnaire to investigate the wearing behaviors and purchase preferences as well as the wearing satisfaction on rash guards. For the study, 200 copies of the questionnaire were distributed and collected to be used as analysis data. The questionnaire consisted of 36 questions, 6 about demographic characteristics, 11 about purchase preferences, and 19 about wearing satisfaction. The collected data was analyzed using the statistical program SPSS 8.0. The study results can be used as basic data to investigate the design preferences and wearing behaviors of rash guards of women in their 20s and 30s. The results found numerous complaints on comfortableness and durability, which suggests more concern and improvements are necessary in those areas when designing patterns for rash guards.