• The KIPS Transactions:PartD
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• v.19D no.1
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• pp.1-14
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• 2012

As the size of the data warehouse is large, the selection of indices on the data warehouse affects the efficiency of the query processing of the data warehouse. Indices induce the lower query processing cost, but they occupy the large storage areas and induce the index maintenance cost which are accompanied by database updates. The bitmap join indices are well applied when we optimize the star join queries which join a fact table and many dimension tables and the selection on dimension tables in data warehouses. Though the bitmap join indices with the binary representations induce the lower storage cost, the task to select the indexing attributes among the huge candidate attributes which are generated is difficult. The processes of index selection are to reduce the number of candidate attributes to be indexed and then select the indexing attributes. In this paper on bitmap join index selection problem we reduce the number of candidate attributes by the data mining techniques. Compared to the existing techniques which reduce the number of candidate attributes by the frequencies of attributes we consider the frequencies of attributes and the size of dimension tables and the size of the tuples of the dimension tables and the page size of disk. We use the mining of the frequent itemsets as mining techniques and reduce the great number of candidate attributes. We make the bitmap join indices which have the least costs and the least storage area adapted to storage constraints by using the cost functions applied to the bitmap join indices of the candidate attributes. We compare the existing techniques and ours and analyze them in order to evaluate the efficiencies of ours.

• Annual Conference on Human and Language Technology
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• 1989.10a
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• pp.219-224
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• 1989

본 연구는 한영 기계 번역을 위한 사전 중에서 한국어 조사 사전에 대한 모델을 제시하였다. 특히 정확한 역어 선택을 위한 제약정보를 수집하는데 중점을 두었다. 지금까지의 한국어 조사에 대한 역어 선택 방법은 체언의 속성 정보에 의한 역어 선택과 default 역어의 선택이었다. 그러나 한국어의 한 조사에 대응하는 영어의 전치사의 수가 너무 많음으로 인하여 이러한 기존의 방법을 사용할 경우 고질의 변역은 기대할 수 없다. 따라서 본 논문에서는 정확한 역어의 선택을 위하여 조사의 격 분류와 체언의 속성 정보를 더욱 세분화 시키고, 이를 이용한 용언의 기본 구문 패턴을 재정립하였다. 또한 한 두개의 default 역어로 인한 번역의 부 정확성을 탈피하기 위하여 default 역어 및 체언의 속성 정보에 의한 역어를 용언의 의미적 분류에 의해 더욱 세분화시킴으로써 정확한 역어를 선택하는 방법을 제시하였다.

• 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.

• The Journal of the Korea Contents Association
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• v.14 no.1
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• pp.466-477
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• 2014

This research aims to analyze the importance-performance among airline selection attributes using foreign tourists. For this purpose, data were collected from Japanese and Chinese tourists to Korea. Of the various airline selection attributes, four factors were deduced that includes: transport service, accompany service, cabin service and basic service using exploratory factor analysis. This study estimated how important airline selection attributes are and how much are they performed. Also, this study analyzed the ranking among each selection attributes using T-test. The importance-performance analysis showed 'Concentrate Here' in quadrant I, 'Keep up the Good Work' in quadrant II, 'Low Priority' in quadrant III and 'Possible Overkill' in quadrant IV. Quadrant I specifically showed low performance in terms of the following specific attributes: communicative convenience, flight attendant's friendliness, seating preference. As these attributes are deemed significant, airline managers should focus along these areas.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2864-2872
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• 2009

This research had the following 3 procedures. The first step focused on the study of the selection attributes for the selection of family and fast food restaurant. The second process is to analyse the level of customer's satisfaction after visiting such family and fast food restaurants. And the in last phase the factor analysis was carried out in order to determine the attribute factors for the restaurant selection. After that the hypothesis was verified about which selection attribute has the effect on the customer satisfaction. The research hypothesises look like as follow.. H1 : the selection attributes of family restaurant has the positive effect on the customer satisfaction. H2 : the selection attributes of fast food restaurant has the positive effect on the customer satisfaction. For this research about 350 university students in Chongju area were interviewed. The result of this research would be the guideline in terms of the marketing aspects for the restaurant owners who are confronted with the severe competition, and also be the foundation for the future research.

• 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.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.5
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• pp.93-103
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• 2015

Residential environment is not only the physical aspects affected by the unique characteristics of the residents, social, economic, cultural, etc. are closely related to many environmental factors. This research is based on choice attribute theory that substantially explains how housing choice attributes affect loyalty via image, perceived value in Secho. This paper investigate empirically relationship between selection properties of residential environment and loyalty, moderating effect of image and perceived value. Results were computed using SPSS 20.0 statistical analysis programs. The results are summarized as follows. First, The elements of choice attribute are divided into six factor, such as regional reputation, green environment, convenience, property value, safety, housing status. In the results of the analyses, housing choice properties gives a positive influence to the loyalty. Second, testing its mediating role, I use the three regression equation models by Baron and Kenny. When the mediator effect of image, perceived value was represented, the effect of image and perceived value was statistically significant. Thus, the mediating role of image and perceived value was supported. It means the higher image and perceived value can enhance loyalty of Secho.

• The Journal of the Korea Contents Association
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• v.11 no.11
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• pp.472-481
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• 2011

The study aims to figure relationships between screen golfers' lifestyle, choice attribute, customer satisfaction, and repurchasing behavior. Study respondents were users of 10 screen golf stores located in Busan and Gyeonnam from March 1, 2010 to April 30, 2010. A total of 290 effective samples were selected based on convenient sampling method and direct visits to stores. SPSS 12.0 was used to conduct factor, reliability, frequent and regression analyses, and the study reached the following conclusions. First, it has been found that screen golfers' lifestyle has a significant effect on choice attribute. Second, it has turn out that screen golfers' choice attribute has a significant effect on customer satisfaction. Third, it has been found that screen golfers' choice attribute has a significant effect on repurchasing behavior.

• 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.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.539-547
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• 2019

This study conducted an importance-satisfaction analysis on choice attributes of cosmetics targeting consumers of road shop cosmetics and suggested improvements needed to increase consumer satisfaction. A summary of the study's results is as follows. First, as to the importance of choice attribute items of road shop cosmetics, skin compatibility appeared to be the highest. For satisfaction as well, skin compatibility appeared to be the highest. Second, when the differences between importance and satisfaction of choice attributes of road shop cosmetics were analyzed, among a total of 15 choice factors, differences appeared in 6 factors. Among them, 5 attributes such as the product function and skin compatibility, excluding the salesperson's service, appeared to have higher importance than satisfaction. Third, based on the IPA results, the study analyzed which factors should be maintained or improved and accordingly suggested efficient resource allocation strategies and marketing strategies that can be practically applied.