• East Asian Economic Review
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• v.27 no.4
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• pp.303-325
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• 2023

This paper examines how APEC has transformed itself into an international forum for the vision of regional integration. It aims to quantify the documentation produced by the international organization and provide quantifiable evidence that aligns with prior knowledge rather than relying solely on intuition. For this purpose, I use various text mining techniques to extract multi-dimensional features from the text of APEC Leaders' Declarations from 1993 to 2023. In terms of interest and expectations for APEC as a forum, it is found that members have experienced two major peaks and troughs over the last three decades. It is found that the change point coincides with the Asian financial crisis of 1997 and the tensions between the United States and China since 2017. To explore more various aspects of economic integration in the Asia-Pacific region, this study also considers how consistently APEC has been an international forum for addressing issues, which members are active, and how members have clustered based on their views of APEC.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.7
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• pp.175-185
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• 2019

In order for learners with different characteristics to reach meaningful learning, the curriculum - class-assessment must be integrated. In this study, we classified the integration into three aspects: content compatibility, operator convergence, and institutional connectivity, and looked at the status of unifying special classes in general schools from each perspective. As a result of the study, in terms of content suitability, adjustment of the curriculum to those subject to special education-professorial revision-assessment adjustment was not performed well except for subjects where individualization professors were conducted. From an actor's perspective, the ambiguity of the roles of general and special teachers resulted in the inability of curriculum coordinators, educators, evaluators and others to agree or even minimal consultations. In terms of institutional linkage, the authority and role of curriculum coordination, professorial revision, and assessment coordination were unclear except for subjects where individualization professors were conducted. As an alternative to discuss and remedy these problems, it proposed increasing awareness of individualized education, compulsory consultation and institutional readjustment.

• Korean Journal of Childcare and Education
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• v.13 no.1
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• pp.85-106
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• 2017

Objective: The purpose of this study was to learn from Korean female defectors about their views of child-rearing experiences in South Korea. This study explored how 7 North Korean female defectors with young children developed child-rearing microideologies that acknowledge both North Korean cultural ideology and South Korean cultural ideology. Methods: To examine North Korean female defectors' child-rearing experiences, indepth interviews with 7 North Korean female defectors with young children were conducted. Results: Four theme clusters, 11 themes, and 47 meanings were found from a phenomenological analysis with indepth interview data. Based on the themes, three types of child-rearing microideologies were identified: (1) separation,(2) assimilation, and (3) integration. Each type of child-rearing microideology can be understood with a meaningful phrase "there is no choice", "nevertheless" and "because I came here to be better," respectively. Conclusion/Implications: This study provides knowledge on the individual-specified child-rearing strategy of North Korean female defectors with young children and suggests the necessity of diverse policy proposals based on the child-rearing microideology types.

• Journal of the Korea Society of Computer and Information
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• v.21 no.6
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• pp.9-19
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• 2016

In finance literature, stock liquidity showing how stocks can be cashed out in the market has received rich attentions from both academicians and practitioners. The reasons are plenty. First, it is known that stock liquidity affects significantly asset pricing. Second, macroeconomic announcements influence liquidity in the stock market. Therefore, stock liquidity itself affects investors' decision and managers' decision as well. Though there exist a great deal of literature about stock liquidity in finance literature, it is quite clear that there are no studies attempting to investigate the stock liquidity issue as one of decision making problems. In finance literature, most of stock liquidity studies had dealt with limited views such as how much it influences stock price, which variables are associated with describing the stock liquidity significantly, etc. However, this paper posits that stock liquidity issue may become a serious decision-making problem, and then be handled by using data mining techniques to estimate its future extent with statistical validity. In this sense, we collected financial data set from a number of manufacturing companies listed in KRX (Korea Exchange) during the period of 2010 to 2013. The reason why we selected dataset from 2010 was to avoid the after-shocks of financial crisis that occurred in 2008. We used Fn-GuidPro system to gather total 5,700 financial data set. Stock liquidity measure was computed by the procedures proposed by Amihud (2002) which is known to show best metrics for showing relationship with daily return. We applied five data mining techniques (or classifiers) such as Bayesian network, support vector machine (SVM), decision tree, neural network, and ensemble method. Bayesian networks include GBN (General Bayesian Network), NBN (Naive BN), TAN (Tree Augmented NBN). Decision tree uses CART and C4.5. Regression result was used as a benchmarking performance. Ensemble method uses two types-integration of two classifiers, and three classifiers. Ensemble method is based on voting for the sake of integrating classifiers. Among the single classifiers, CART showed best performance with 48.2%, compared with 37.18% by regression. Among the ensemble methods, the result from integrating TAN, CART, and SVM was best with 49.25%. Through the additional analysis in individual industries, those relatively stabilized industries like electronic appliances, wholesale & retailing, woods, leather-bags-shoes showed better performance over 50%.