• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.117-124
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• 2013

Association rule of data mining techniques is the method to quantify the relationship between a set of items in a huge database, andhas been applied in various fields like internet shopping mall, healthcare, insurance, and education. There are three primary interestingness measures for association rule, support and confidence and lift. Confidence is the most important measure of these measures, and we generate some association rules using confidence. But it is an asymmetric measure and has only positive value. So we can face with difficult problems in generation of association rules. In this paper we apply the similarity measures by probabilistic interestingness measure (PIM) with all marginal proportions (AMP) to solve this problem. The comparative studies with support, confidences, lift, chi-square statistics, and some similarity measures by PIM with AMPare shown by numerical example. As the result, we knew that the similarity measures by PIM with AMP could be seen the degree of association same as confidence. And we could confirm the direction of association because they had the sign of their values, and select the best similarity measure by PIM with AMP.

• The Journal of Korean Association of Computer Education
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• v.21 no.5
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• pp.61-68
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• 2018

Collaborative filtering is a fundamental technique implemented in many commercial recommender systems and provides a successful service to online users. This technique recommends items by referring to other users who have similar rating records to the current user. Hence, similarity measures critically affect the system performance. This study addresses problems of previous similarity measures and suggests a new similarity measure. The proposed measure reflects the subjectivity or vagueness of user ratings and the users' rating behavior by using fuzzy logic. We conduct experimental studies for performance evaluation, whose results show that the proposed measure demonstrates outstanding performance improvements in terms of prediction accuracy and recommendation accuracy.

• The Journal of the Korea Contents Association
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• v.2 no.4
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• pp.99-103
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• 2002

In this paper, we investigate for how to define a fuzzy measure by using the semi-normed fuzzy integral of a given measurable function with respect to another given fuzzy measure when t-seminorm is continuous. Let (X, F, g) be a fuzzy measure space, h$\in$L$^\circ$(X), and $\top$ be a continuous t-seminorm.. Then the set function $\nu$ defined by $\nu$(A)=$\int _A$h$\top$g for any $A\in$F is a fuzzy measure on (X, F).

• Journal of the Korea Fashion and Costume Design Association
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• v.11 no.2
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• pp.1-10
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• 2009

The purpose of this study is to investigate harmonious color schemes based on a length proportion of upper and lower parts of a body by; understanding of the harmonious length proportion of a square measure of a color in color coordination of fashion design, and presenting a mutual relation of the length proportion of a square measure of a color according to the various way of color schemes and proportions. For this study, monochromatic scheme, analogous scheme and complementary scheme were adapted as the color schemes, and each color scheme was coordinated by analogous tone and contrast tone. Also, 1:1 symmetry proportion, 1:2 harmonic proportion, 1:1.618 golden section, 1:3 and 1:5 contrast proportion were used as the square measure of a color. For the survey, 12 sets of color sample were organized. The survey was conducted 182 of university students majored in fashion design, and 143 responded samples were analyzed using SPSS 12. The result of the study is as follows: 1:5 contrast proportion is most inharmonious in general, and 1:1 symmetry proportion is followed. It is thought that too much or same length of the square measure of colors has less attractive effect of coloring. On the other hand, 1:1.618 golden section and 1:2 harmonic proportion are accepted to be harmonious in all color schemes. The length proportion of the square measure of a color had more influence on harmony of color coordination in fashion design rather than color schemes. Though, on the assumption that people have a similar perception about the color image of fashion design, it will play an important role in strengthening or diminution of color in cloth if the coloring effect of the length proportion of the square measure of a color is used in fashion design and wearing of clothes.

• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.1-12
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• 2009

There exist some regular multiple relations in the intervals of notes when they are combined within one measure. This paper presents a method to find the exact measure positions in monophonic song based on those relations. In the proposed method the individual intervals are segmented at first and the rules that state the multiple relations are used to find the measure position. The measures can be applied as the foundational information for extracting beat and tempo of a song which can be used as background knowledge of automatic music transcription system. The proposed method exactly detected the measure positions of 11 songs out of 12 songs except one song which consist of monophonic voice song of the men and women. Also one can extract the information of beat and tempo of a song using the information about extracted measure positions with music theory.

• Journal of the Korean Data and Information Science Society
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• v.16 no.2
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• pp.207-216
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• 2005

One of the well-studied problems in data mining is the search for association rules. Association rules are useful for determining correlations between attributes of a relation and have applications in marketing, financial and retail sectors. There are three criteria of association rule; support, confidence, lift. The goal of association rule mining is to find all the rules with support and confidence exceeding some user specified thresholds. We can know there is association between two items by the criteria of association rules. But we can not know the degree of association between two items. In this paper we examine the relation between the measures of association and the criteria of association rule for ordinal data.

• Journal of Arbitration Studies
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• v.26 no.4
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• pp.63-82
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• 2016

In order to cope with the changes of International Commercial Arbitration, the Shanghai International Economic and Trade Arbitration Commission (SHIAC) regulated an Emergency Arbitrator for the first time, implementing the arbitration rules in China (Shanghai) Pilot Free Trade Zone on May 1, 2014. Moreover, the China International Economic and Trade Arbitration Commission (CIETAC) also regulated the Emergency Arbitrator in the revised arbitration rules on January 1, 2015. However, it caused considerable contradiction that SHIAC and CIETAC admitted an interim measure decision by the Emergency Arbitrator under the circumstance that the Chinese court can impose a preservative measure in the Civil Procedure Code (CPC) and Arbiration Act. This study attempted to compare the main contents of an Emergency Arbitrator regulated in the arbitration rules of SHIAC and CIETAC with arbitration rules of representative arbitral institutions which operate an Emergency Arbitrator. In addition, this study verified the application features and problems through comparing the rule of SHIAC and CIETAC with the rule related to the preservative measure in Chinese law.

• Journal of the Korean Statistical Society
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• v.21 no.2
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• pp.127-137
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• 1992

In this paper we investigate scaling limits for associated random measures satisfying some moment conditions. No stationarity is required. Our results imply an improvement of a central limit theorem of Cox and Grimmett to associated random measure and an extension to the nonstationary case of scaling limits of Burton and Waymire. Also we prove an invariance principle for associated random measures which is an extension of the Birkel's invariance principle for associated process.

• Journal of the Korean Data and Information Science Society
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• v.19 no.3
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• pp.925-936
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• 2008

An association rule mining finds the relation among each items in massive volume database. In generating association rules, the researcher specifies the measurements randomly such as support, confidence and lift, and produces the rules. The rule is not produced if it is not suitable to the one any condition which is given value. For example, in case of a little small one than the value which a confidence value is specified but a support and lift's value is very high, this rule is meaningful rule. But association rule mining can not produce the meaningful rules in this case because it is not suitable to a given condition. Consequently, we creat insignificant error which is not selected to the meaningful rules. In this paper, we suggest clustering technique to association rule measures for finding effective association rules using measure of association.

• Journal of the Korean Home Economics Association
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• v.33 no.4
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• pp.235-249
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• 1995

The first purpose of this study was to review literatures on marital intimacy. The second purpose was to develop a theory-derived scale to measure marital intimacy. From an original lists of 32 items developed from literatures, the survey was practiced. The data were collected from 344 married adults who had been married more than 5 years. Through this process, a final lists of 19 item scale that were covering 4 different aspects of affectional, sexual, committed, cognitive marital intimacy yielded. reliability estimate assessed by Cronbach's coefficient is .903. Content Validity was evidenced by jury logical opinions. Construct Validity was tested in relation to Spanier's DAS scale.