The modeling components in the object-oriented paradigm are based on the object, not the structured function or procedure. That is, in the past, when one wanted to solve problems, he would describe the solution procedure. However, the object-oriented paradigm includes the concepts that solve problems through interaction between objects. The object-oriented model is constructed by describing the relationship between object to represent the real world. As in object-oriented model the relationships between objects increase, the control of objects caused by their insertions, deletions, and modifications comes to be very complex and difficult. Because the loss of the referential integrity happens and the object reusability is reduced. For these reasons, the necessity of the control of objects and the visualization of the relationships between them is required. In order that we design a database necessary to implement Object Browser that has functionalities to visualize Java objects and to perform the query processing in Java object modeling, in this paper we show the processes for EER modeling on Java object and its transformation into relational database schema. In addition we implement Java Object Parser that parses Java object and inserts the parsed results into the implemented database.

We propose an extended relational data model which can represent the reliability of data. In this paper, the reliability of data is defined as the reliability of the source, from which the data originated. We represent the reliability of data at the level of attribute values, instead of tuples, then define the selection, product and join operators.

This study was intended to find the use patterns of internet search engines of librarians and to measure the relationship between internet use frequency and the use behavior of internet search engines. The results showed that librarians use Web search engines for academic information retrieval and are satisfied with the search results. The major problems when librarians use search engines were that search engines retrieve many non-relevant documents. As a result of hypotheses test, the relationship between internet frequency and the preference of search engines was not significantly different. On the other hand, the hypotheses that internet frequency affects satisfaction of search results, recognition of importance of search engines, and the need of retraining of librarians for internet information retrieval were shown to be significant.

CITIS(Contractor Integrated Technical Information Service) is a service standard which specifies guidelines which are required for the fulfillment of a contract between a purchaser and a supplier. It was initiated as a military standard and is now becoming a commercial standard. In this paper, we propose how the guidelines, which were usually developed by Client/Server methods in previous works, can be implemented in WWW environments, and show a prototype which can be used for the confirmation of CAD drawings between contractors(purchaser and provider). We have a hope our study can provide a small foundation for the building of CITIS references.

A study on workflow system as an automated business processing system is done recently. However, it did not consider various dependencies between parallel tasks. Therefore, this paper proposes modeling and verification of workflows with various parallel dependencies. For this, firstly, we propose four dependencies to specify various parallel dependencies between tasks. They contain sequential starts, parallel starts, sequential commits, and parallel commits. Secondly, we suggest a method to specify various parallel dependencies on workflow graph. Thirdly, we propose a verification method to detect contradictions on workflow specifications.

There have been a series of debates to determine whether it would be possible to forecast dynamic systems such as stock markets. Recently the introduction of chaos theory has allowed many researchers to bring back this issue. Their main concern was whether the behavior of stock markets is chaotic or not. These studies, however, present divergent opinions on this question, depending upon the method applied and the data used. And the issue of predictability based on the nonlinear, chaotic nature was not dealt extensively. This paper is to test the nonlinear nature of the Korea stock market and accordingly attempts to predict its behavior. The result indicates that our stock market represents a chaotic behavior. We also found out based on our simulation that executing buy/sell transactions based upon forecasts which were derived using the local approximation method outperforms the decision of holding without a buy/sell transaction.

Increasing number of companies recognize that the understanding of customers and their markets is indispensable for their survival and business success. The companies are rapidly increasing the amount of investments to develop customer databases which is the basis for the database marketing activities. Database marketing is closely related to data mining. Data mining is the non-trivial extraction of implicit, previously unknown and potentially useful knowledge or patterns from large data. Data mining applied to database marketing can make a great contribution to reinforce the company's competitiveness and sustainable competitive advantages. This paper develops the classification model to select the most responsible customers from the customer databases for telemarketing system and evaluates the performance of the developed model using LIFT measure. The model employs the decision tree algorithm, i.e., CHAID which is one of the well-known data mining techniques. This paper also represents the effective database marketing strategy by applying the data mining technique to a credit card company's telemarketing system.

Marketing decision support systems rely on an underlying enterprise information infrastructure. In traditional business situations, a limited number of product lines and markets divided into large chunks were adequately served by existing management information systems. With the advent of an increasingly segmented focus on niche markets and individual customers, the demand for market information has grown exponentially. The practical solutions offered by such data warehousing tools as OLAP and data mining directly address this need, allowing organizations to discover new niches. Marketing decision support systems built on these foundations provide organizations with new avenues for creating specifically targeted marketing strategies and promotional campaigns. The contribution of this article lies in introducing a graphical framework for data warehousing applications. Based on prior research, the framework links data warehousing and database marketing. To illustrate the effectiveness of this approach, three case examples of successful database marketing conclude the paper.

현재 국내 유통업계, 신용카드업계 및 금융계 등을 중심으로 데이터베이스 마케팅 활동이 전개되고 있다. 이러한 추세는 정보 기술의 발전, 홈쇼핑 및 통신판매업계의 급신장, 인터넷으로 대표되는 새로운 광고 매체의 발전, 이를 이용한 전자 상거래의 도입 등으로 더욱 가속화되리라 예상된다. 본 고에서는 이러한 추세에 부응하여, 선진국 유통업계의 데이터베이스 마케팅 사례를 소개한다. 하나는 캐나다의 Eaton 백화점의 고객 관리 사례이며, 다른 하나는 영국의 Tesco 수퍼체인의 데이터베이스 마케팅 사례이다.

애경백화점은 백화점 업계 최초로 데이터웨어하우스를 구축하여 이를 기반으로 ACOMS라는 고객 지향적인 마케팅 정보시스템을 도입하였다. 현재로서는 기존고객 유지 및 신규고객 유치를 위해 이용되고 있으나, 이 시스템을 이용한 DB마케팅 전략개발은 앞으로 무한한 가능성을 보이고 있다. ACOMS는 마케팅기획팀에 의해 주도적으로 사용되고 있는데, 이제까지 예측치 못했던 다각적인 판매정보를 입수할 수 있게 됨으로써 더욱 참신한 마케팅 아이디어를 도출해 낼 수 있게 되었다. 이제 이들이 제출하는 마케팅 기획안은 경영진에 의해 신중하게 받아 들여지고 있으며, 따라서 예산이 많이 드는 기획안일지라도 채택되는 빈도가 높아지고 있다. 경영진은 마케팅 기획팀이 제안하는 기획안들이 다각적인 데이터 분석에 의해 수립된 사실을 알기 때문에 그 어느 때보다도 자신감있게 의사결정을 내리고 있다