• Journal of the Korean Data and Information Science Society
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• 제25권2호
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• pp.447-454
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• 2014

In many practical machine learning and data mining applications, unlabeled training examples are readily available but labeled ones are fairly expensive to obtain. Therefore semi-supervised learning algorithms have attracted much attentions. However, previous research mainly focuses on classication problems. In this paper, a semi-supervised regression method based on support vector regression (SVR) formulation that is proposed. The estimator is easily obtained via the dual formulation of the optimization problem. The experimental results with simulated and real data suggest superior performance of the our proposed method compared with standard SVR.

• 한국정보시스템학회지:정보시스템연구
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• 제8권2호
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• pp.129-143
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• 1999

A great number of companies are currently examining the opportunities made available through the internet. This research aims to identify the factors that influence the adoption of the internet market. The innovation-IT-diffusion theory provide the theoretical foundation for this study. Seven factors were found to influence the adoption level of the internet market. They are top management support, cost efficiency, inclination toward new technology, absorptive capacity, institutional support, competitors move and customer pressure. Nonparametric test was used to test hypotheses. The results shows that top management support is the most important factor, and institutional support is not related to the adoption of the internet market.

• Journal of the Korean Data and Information Science Society
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• 제26권2호
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• pp.517-524
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• 2015

Unlabeled examples are easier and less expensive to be obtained than labeled examples. In this paper semisupervised approach is used to utilize such examples in an effort to enhance the predictive performance of nonlinear quantile regression problems. We propose a semisupervised quantile regression method named semisupervised support vector quantile regression, which is based on support vector machine. A generalized approximate cross validation method is used to choose the hyper-parameters that affect the performance of estimator. The experimental results confirm the successful performance of the proposed S2SVQR.

• 한국기술혁신학회:학술대회논문집
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• 한국기술혁신학회 2015년도 추계학술대회 논문집
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• pp.847-866
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• 2015

최근 우리나라는 글로벌 경제 침체 극복하고 침체된 경제를 활성화시키기 위해서 중소기업의 혁신역량을 강화시킬 수 있는 다양한 정책을 진행해 왔다. 이 연구는 ICT 기술 기업이라는 관점에서 이러한 정부의 노력 중에서 R&D 정보 지원 사업이 가진 가능성과 한계를 실증적으로 연구해서 증거기반의 정책이 가능하도록 시사점을 제공하고자 한다. 이 연구에서는 2014년 중소기업 기술통계조사 결과를 활용해서 정부의 R&D 정보 지원 정책이 중소기업의 기술적 또는 경제적 성과에 어떠한 영향을 주는지 분석했다. 이 연구의 결과에 따르면 중소기업에 제공된 R&D 지원 사업(R&D 기획 지원 및 기술정보 제공)은 기술투자에 유의한 관계가 있는 것으로 나타났다. 반면에 R&D 정보 지원 사업은 기술적 또는 경제적 성과와 직접적으로 유의한 관계는 없는 것으로 밝혀졌다. 다만, R&D 기획 지원 사업은 기업이 ICT 분야를 연구하는 경우 기술적 성과에 유의한 관계가 있는 것으로 나타나났다. 이 연구의 결과는 ICT를 포함한 기술 중심의 중소기업을 지원하는 정책을 구상하는 정책입안자에게 다양한 시사점을 제공할 수 있으며, 특히 중소기업에게 정보를 지원하는 기업이나 연구자에게 여러 가지 정책적 가이드를 제공해 줄 것으로 기대한다.

• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.244-250
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• 2022

Reforming social relations requires changing the system of relations between state executive bodies, institutions subordinate to them and a citizen, which is characteristic for most of the country, in which the latter is a petitioner even if his indisputable rights and legitimate interests are satisfied. One of the most important areas of public administration reform is the formation and development of a system of administrative services and appropriate information support. The result of the implementation of this direction should be the creation of such a legal framework and its real implementation in administrative and legal practice, in which consumers of administrative services will have broad rights and powers and will not be passive subjects manipulated by civil servants.Thus, the main task of the study is to analyze the normative legal aspects of information support for the provision of administrative services in the field of public administration. As a result of the study, the main aspects of normative legal aspects of information support for the provision of administrative services in the field of public administration were investigated.

• 경영과정보연구
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• 제12권
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• pp.227-245
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• 2003

In this paper, it is indicated that, currently, foundation of small and medium businesses is generally increasing in number, but the establishment of manufacturing companies is very slow. This is because of many factors interfering with promotion of the opening of small and medium businesses such as endless bakruptcies of the businesses and uncertain perspective. Therefore, it will be expected to encourage people to start business and activate establishment of small and medium sized manufacturing companies by improving tax support systems and providing tax support information services for founed companies and foundation supporting companies.

• Journal of the Korean Data and Information Science Society
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• 제14권1호
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• pp.67-74
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• 2003

Median regression analysis has robustness properties which make it an attractive alternative to regression based on the mean. Support vector machine (SVM) is used widely in real-world regression tasks. In this paper, we propose a new SV median regression based on check function. And we illustrate how this proposed SVM performs and compare this with the SVM based on absolute deviation loss function.

• Journal of the Korean Data and Information Science Society
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• 제15권2호
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• pp.507-513
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• 2004

Least-squares support vector machine (LS-SVM) has been very successful in pattern recognition and function estimation problems for crisp data. In this paper, we propose LS-SVM approach to evaluating fuzzy regression model with multiple crisp inputs and a Gaussian fuzzy output. The proposed algorithm here is model-free method in the sense that we do not need assume the underlying model function. Experimental result is then presented which indicate the performance of this algorithm.

• Journal of the Korean Data and Information Science Society
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• 제15권2호
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• pp.449-455
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• 2004

Support vector machine (SVM) has been very successful in pattern recognition and function estimation problems for crisp data. This paper proposes a new method to evaluate interval regression models for crisp input-output data. The proposed method is based on quadratic loss SVM, which implements quadratic programming approach giving more diverse spread coefficients than a linear programming one. The proposed algorithm here is model-free method in the sense that we do not have to assume the underlying model function. Experimental result is then presented which indicate the performance of this algorithm.

• Journal of the Korean Statistical Society
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• 제33권1호
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• pp.25-34
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• 2004

In this paper we propose a prediction method on the regression model with randomly censored observations of the training data set. The least squares support vector machine regression is applied for the regression function prediction by incorporating the weights assessed upon each observation in the optimization problem. Numerical examples are given to show the performance of the proposed prediction method.