• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2002.11a
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• pp.17-22
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• 2002

• The Korean Journal of Archival Studies
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• no.25
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• pp.91-129
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• 2010

As it grows more heavily reliant on information system, researchers seek for various ways to manage and utilize of dataset records which is accumulated in public information system. It might be needed to adjust date and enhance the quality of public administrative dataset records during transferring to archive system or sharing server. The purpose of this paper is presenting data adjustment and quality enhancement methods for public administrative dataset records, and it refers to ETT procedure and method of construction of datawarehouses. It suggests seven typical examples and processing method of data adjustment and quality enhancement, which are (1) verification of quantity and data domain (2) code conversion for a consistent code value (3) making component with combinded information (4) making a decision of precision of date data (5) standardization of data (6) comment information about code value (7) capturing of metadata. It should be reviewed during dataset record transfer. This paper made Data adjustment and quality enhancement requirements for dataset record transfer, and it could be used as data quality requirement of administrative information system which produces dataset.

• Proceedings of the CALSEC Conference
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• 1998.10a
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• pp.301-312
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• 1998

◆ 전자상거래 프로토콜 ㆍ IKP (Internet Keyed Payment) IBM ㆍ SEPP (Secured Electronic Payment Protocol) : 개방형 표준을 제공하는 최초의 다자간 프로토콜 ㆍ SET (Secure Electronic Transaction) - 인터넷과 같은 네트워크 상에서 안전한 신용카드 거래를 위한 기술사양 - RSA 데이터 보안회사의 암호화 기술에 기초 - 상호운영성(interoperability) 보장(중략)

• Proceedings of the Korean Society for Information Management Conference
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• 2000.08a
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• pp.107-112
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• 2000

본 연구에서는 데이터웨어하우스의 개념에 대해 살려본 뒤, 데이터마이닝 개념 및 구축방법을 살펴하고, 이를 이용한 검색엔진인 northernlight와 google에 대해 기존의 검색엔진과 비교해서 분석하고자 한다.

• Digital Contents
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• no.3 s.58
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• pp.38-45
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• 1998

지난 수년간 온라인 트랜잭션 프로세싱은 지속적으로 사용자들의 관심을 유발시켜 왔다. 그러나 아직까지도 진정한 OLTP 시스템 전문가를 찾기는 쉽지 않은 실정이며, 그 개념에 대해서도 이견이 분분하다. 또한 최근에는 OLTP 시스템을 데이터웨어하우스와 접목. 그 기능을 재정의하는 논의도 재개되고 있다. 성공적인 OLTP 시스템 구축 요령과 향후의 OLTP의 미래에 대해 전망해본다.

• Spatial Information Research
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• v.13 no.3 s.34
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• pp.239-252
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• 2005

The major reason that spatial data warehousing has attracted a great deal of attention in business GIS in recent years is due to the wide availability of huge amount of spatial data and the imminent need for fuming such data into useful geographic information. Therefore, this research has been focused on designing and implementing the pilot tested system for spatial decision making. The purpose of the system is to predict targeted marketing area by discriminating the customers by using both transaction quantity and the number of customer using credit card in department store. Moreover, the pilot tested system of this research provides OLAP tools for interactive analysis of multidimensional data of geographically various granularities, which facilitate effective spatial data mining. focused on the analysis methodology, the case study is aiming to use GIS and clustering for knowledge discovery. Especially, the importance of this study is in the use of snowflake schema model capabilities for GIS framework.

• The Transactions of the Korea Information Processing Society
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• v.7 no.8
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• pp.2273-2286
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• 2000

In order to acquire the precise and fast response for an analytical query, proper selection of the views to materialize in data warehouse is very crucial. In traditional view selection algorithms, the whole relations are considered to be selected as materialized views. However, materializing the whole relations rather than a part of relations results in much worse performance in terms of time and space cost. Therefore, we present an improved algorithm for selection of views to materialize using clustering method to overcome the problem resulted from conventional view selection algorithms. In the presented algorithm, ASVMRT(Algorithm for Selection of Views to daterialize using Iteduced Table). we first generate reduced tables in clata warehouse using automatic clustering based on attrihute-values density, then we consider the combination of reduced tables as materialized views instead of the combination of the original hase relations. For the justification of the proposecl algorithm. we show the experimental results in which both time and space cost are approximately 1.8 times better than the conventional algorithms.

• Korean Journal of Construction Engineering and Management
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• v.6 no.1 s.23
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• pp.89-98
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• 2005

Recently the construction industry in Korea is facing problems such as low productivity, contraction of the domestic construction market, growing competition, and so on. To enhance the competitiveness continuously through efficiency in this business environments, construction companies need to make efforts to measure and accumulate performance data based on the strategic factors. When analysing performance of construction projects, the unique characteristics of each project should be considered properly, by which the managers can identify current status of project in various perspectives. This study proposes the performance analysis system using the concepts of balanced scorecard and data warehouse technology. The suggested system provides the management with the flexibility in analyzing performance data by applying the pre-defined key performance indicators and the function of multi-dimensional analysis.

• The KIPS Transactions:PartD
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• v.13D no.6 s.109
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• pp.797-806
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• 2006

In the data warehouse environment, materialized views are typically used to support efficient query processing. Materialized views need to be updated when source data change. Since the update of the views need impose a significant overhead, it is essential to update the views efficiently. Though various view maintenance strategies have been discussed in the past, the efficient maintenance of SPJ materialized views has not been sufficiently investigated. In this paper, we propose an efficient incremental view maintenance method for SPJ materialized views that minimizes the total accesses to data sources. The proposed method finds an optimal view maintenance strategy using a dynamic programming algorithm. We also present various experimental results that shows the efficiency of our proposed method.

• Proceedings of the Korean Society of Computer Information Conference
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• 2008.06a
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• pp.131-135
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• 2008

데이터스트림 환경에서 무한히 연속적으로 생성되는 데이터를 처리하고 분석하 는방법에 관한 많은 연구가진행중이다. 본 논문은 데이터스트림의 한 예인 네트워크 트래픽을 모니터링하기 위한 OLAP 구현에 대하여 기술한다. 제안하는 OLAP 시스템은 기존의 네트워크 모니터링 툴이 제공하지 못했던 다양한 연산을 지원하여 유연한 분석을 가능하게 하며, 정적인 데이터를 처리하는 데이터웨어하우스에서만 적용되던 OLAP을 데이터스트림 환경에 적용할 수 있게 한다.