• 정보보호학회논문지
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• 제22권3호
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• pp.565-573
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• 2012

기업의 탈법, 비리 등 부정행위를 조사할 경우 인사, 회계, 물류, 생산 등의 업무데이터(Business Data)의 확보가 필요하다. 다수의 기업들은 분산된 업무 데이터를 데이터베이스(Database)화하여 통합적으로 관리하고 있기 때문에 디지털 포렌식 조사를 위하여 데이터베이스에 대한 체계적인 업무데이터 추출기법 연구가 중요하다. 일반적인 정보체계 환경에서 데이터베이스는 상위 어플리케이션 및 대용량 파일 서버와 통합된 정보체계 내의 부분적 형태로 존재한다. 또한 사용자가 입력한 원시 업무 데이터는 정규화 과정을 거친 테이블 설계에 의해 하나 이상의 테이블에 분산되어 저장된다. 기존 데이터베이스 구조 분석에 관한 연구들은 데이터베이스의 최적화와 시각화를 위하여 테이블 간 연관관계 분석이 가장 중요한 연구대상이었다. 그러나 원시 업무데이터를 획득해야 하는 디지털 포렌식 관점의 연구는 테이블 간 연관관계 시각화보다 데이터의 해석이 더 중요한 연구대상이다. 본 논문에서는 데이터베이스 내부에서 미리 정의된 테이블 간 연관관계 분석기술뿐만 아니라 도메인 전문 지식(domain knowledge)을 활용한 체계화된 분석절차를 제시하여 데이터베이스에 저장된 원시 업무 데이터 구조를 분석하고 사건관련 데이터를 추출할 수 있는 분석방안을 제안한다.

• Journal of the Korean Data and Information Science Society
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• 제24권6호
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• pp.1503-1520
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• 2013

For multi-line insurance companies, allocating the risk capital to each line is a widely-accepted risk management exercise. In this article we consider several applications of the Euler capital allocation. First, we propose visual tools to present the diversification and the line-wise performance for a given loss portfolio so that the risk managers can understand the interactions among the lines. Secondly, on theoretical side, we prove that the Euler allocation is the directional derivative of the marginal or incremental allocation method, an alternative capital allocation rule in the literature. Lastly, we establish the equivalence between the mean-shortfall optimization and the RORAC optimization when the risk adjusted capital is the expected shortfall, and show how to construct the optimal insurance business mix that maximizes the portfolio RORAC. An actual loss sample of an insurance portfolio is used for numerical illustrations.

• 한국전자거래학회지
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• 제3권2호
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• pp.95-112
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• 1998

With the advent and proliferation of the Internet, Electronic Commerce(EC) on the Internet has become one of the most rapidly growing area and has been the subject of much research lately. EC is commercial transactions using computers in virtual environment through computer networks. The computer system deals with various ranges of things such as products, services, and information on EC. In this paper we describe the construction methods of web site based on the personalization, Also, we present the personalization technology and architecture of the P-Commerce proposed in this paper. Finally, we describe the methods constructing EC site using P-Commerce solution.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2005년도 추계학술발표대회 및 정기총회
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• pp.325-328
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• 2005

본 논문은 BPM(Business Process Model)에 룰(rule/policy)을 적용하여 3-Tier 구조의 BPM을 제안하고자 한다. 이는 비즈니스 프로세스를 효율적으로 관리하고, 빠르게 변화하는 업무를 비즈니스 프로세스 모델링하고 그에 필요한 응용 프로그램의 개발을 위해 BPM과 CBD(Component Based Development)간의 접목에 초점을 둔다. 이를 통해서 새로운 비즈니스 프로세스를 추가/변경 시, 필요한 응용업무 프로그램 개발 기간 단축을 할 수 있으리라 본다. 은행 비즈니스업무에 대해 비즈니스 프로세스 모델링을 적용 사례로 보여준다.

• Asia pacific journal of information systems
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• 제11권3호
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• pp.149-164
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• 2001

In this paper, an adaptive workflow management system, called K-WFMS, is proposed. The K-WFMS integrates database system and knowledge-based system to automate business processes that are executed with complex and various business rules such as task scheduling, role resolution, and exception handling rules. The K-WFMS is adaptable in the sense that it allows its users to change workflow schema in the course of workflow execution as well as it provides rule-based modeling constructs to handle predictable exceptions during workflow modeling. The overall architecture and implementation of K-WFMS are explained, and the change propagation mechanism to maintain validity of workflow model is suggested.

• 해양환경안전학회지
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• 제11권1호
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• pp.47-52
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• 2005

본 연구에서는 해양레저의 국내외 현황을 소개하고 국내 해양 레저와 요트 산업의 현황과 문제점에 대하여 분석하여 개선 방안을 제시하고자 한다. 먼저 해양레저의 해외 우수 사례를 소개한다. 아울러 국내 해양 레저와 요트 산업의 현황과 문제점에 대하여 분석하여 개선 방안을 제시하고자 한다. 또한 향후 해양레저 산업의 전망을 분석하였다.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.306-311
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• 2002

This paper propose a personalized defection detection and prevention procedure based on the observation that potential defectors have tendency to take a couple of months or weeks. For this purpose, possible states of customer behavior are determined from past behavior data using SOM (Self-Organizing Map). For the evaluation of the proposed procedure, a case study has been conducted for a Korean online game site. The result demonstestes that the proposed procedure can assist defection prevention effectively and detect potential defectors without deterioration of prediction accuracy comparison to prediction by MLP. Our procedure can be applied to various service industries that can capture fluent customer behavior data such as telecommunications, internet access services, and content services, too.

• 한국전자거래학회지
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• 제4권1호
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• pp.21-36
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• 1999

Using user monitoring techniques on web, marketing decision makers in cyber shopping malls can gather customer behavior data as well as sales transaction data and customer profiles. In this paper, we present a marketing rule extraction technique for customer behavior analysis in cyber shopping malls, The technique is an application of market basket analysis which is a representative data mining technique for extracting association rules. The market basket analysis technique is applied on a customer behavior log table, which provide association rules about web pages in a cyber shopping mall. The extracted association rules can be used for mall layout design, product packaging, web page link design, and product recommendation. A prototype cyber shopping mall with customer monitoring features and a customer behavior analysis algorithm is implemented using Java Web Server, Servlet, JDBC(Java Database Connectivity), and relational database on windows NT.

• Asia pacific journal of information systems
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• 제15권3호
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• pp.209-221
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• 2005

One of the most fundamental problems in business is to evaluate the value of each product. The difficulty is that the profit of one product not only comes from its own sales, but also its influence on the sales of other products, i.e., the "cross-selling effect". This study integrates a measure for cross selling and an algorithm for profit estimation. Sales transaction data and post sales survey data from on-line and off-line shopping mall is used to show the effectiveness of the method against other heuristic for profit estimation based on product-specific profitability. We show that with the use of the new method we are able to identify the cross-selling potential of each product and use the information for better product selection.

• Asian Journal of Business Environment
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• 제5권4호
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• pp.67-72
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• 2015

Purpose - This aim of this study is to examine how conglomerates in Korea have evolved from the perspective of institutional economics. The growth of the economy, dominated by large conglomerates, is projected in light of the dynamic equilibrium between government and capitalists. Research design, data, and methodology - The historical formation of big business groups is examined in chronological order. For the analysis, we divide the assessment into three different eras: Japanese colonial rule, liberation up to the civil war, and the fast growing period since the military coup. Each period is viewed as a dynamic equilibrium that is shaped by economic agents. Results and Conclusion - Despite the rise of modern commerce during the colonial era, contemporary conglomerates came into being with the "enemy property" allotted by the government. Around the civil war, the government coexisted with prototype conglomerates through foreign aid. As the external aid decreased, the system could not be sustained anymore, thus the military coup took place. The reinstated strong bond between government and the conglomerates has shaped the forms of the modern conglomerates thereafter.