• Title/Summary/Keyword: Statistical System

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On the characteristics of statistical expert system and a strategy to choose development tools (통계전문가시스템의 특성과 개발도구의 선택)

  • 허문열
    • The Korean Journal of Applied Statistics
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    • v.4 no.1
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    • pp.85-92
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    • 1991
  • This paper describes the trend and inherent problems of the current statistical packages, and statistical expert system is suggested as an alternative to the conventional statistical packages. The paper then describes the components and characteristics of statistical expert system, and suggests a strategy to choose development tools to build a system.

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Statistical System of the CIS Countries

  • Kim, Joo-Hwan
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.4
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    • pp.1023-1032
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    • 2007
  • We introduce the statistical system of the Commonwelth Independence State(CIS) countries located in the Central Asia. At present, the level of the national statistics production system of Korean National Statistical Office(NSO) is very high and locate on just behind Japan among all asian countries, and they are also trying to reach the statistics quality level upto the advanced developed countries in the world. To have the optimal Statistics production processing, we must understand the methodologies parts as well as the aspect of the macro statistics that can be applied to the country#s economic plan. Like the history is repeated, it is valuable to look at the development history of statistical system of other countries one century ago. We study the relationship among CIS countries along with the history of Russian statistics development. It will be helpful to look and understand the statistical system of CIS countries including Russia to use their statistics for international comparison study.

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Contents Analysis on the Internet Sites for Statistical Information

  • Cho, Kwang-Hyun;Park, Hee-Chang
    • 한국데이터정보과학회:학술대회논문집
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    • 2006.04a
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    • pp.131-140
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    • 2006
  • There are many statistical information sites as the use of internet is increased quickly in recent years. In this paper, we explore and analyze internet sites for statistical information such as statistical survey system, education, database, and terminology. And then we classify these sites to apply statistical information to some particular spheres easily. In so doing, this study result aims at enhancing our understanding of internet sites for statistical information.

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The Design and Implementation of Web-based Statistical Consulting System

  • Ryu, Jae-Yeol;Lee, Jung-Hoon;Jo, Min-Ji;Kim, Ae-Ji
    • 한국데이터정보과학회:학술대회논문집
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    • 2006.11a
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    • pp.167-180
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    • 2006
  • The statistical survey and analysis is much restricted to time, space and material. The statistical survey and analysis could hardly resume. The statistical survey and analysis is very important to create various and accurate information. The statistical survey and analysis which is not a expert knowledge have many problems in productivity of information, reliability and etc. In this paper, we study the design and Implementation of web-based statistical survey and analysis consulting system which a client meet easily a statistical expert on the web.

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Reviews and prospects on the official statistical system in Korea (한국의 국가통계체계에 대한 소고)

  • Yi, In-Sill
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.3
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    • pp.419-446
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    • 2012
  • National statistical system in Korea has developed along with national economic agenda such as a government oriented high economic growth and has formed to a typical diversified statistical system. While the national statistics have been produced whenever they are needed, they are facing the critics that production of basic statistics were lack of balance. Grasping the statistical demand properly, enhancing the statistical concurrence with international organization, preventing the production of overlapped and similar statistics, and improving the professionalism of manpower in statistical industry are the structural problems that Korean statistical system has to get over. It is important to strengthen the coordination mechanism and the governance structure of the national statistical system to level up the integrity and credibility of statistical program. The length of Chief Statistician's tenure need to be assured.

A Statistical Expert System for Simulation Analysis-Revised (시뮬레이션의 통계적 분석을 위한 전문가 시스템)

  • Park, Young-Hong
    • IE interfaces
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    • v.7 no.1
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    • pp.81-91
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    • 1994
  • Simulation is one of the most widely used techniques in operations research and management science, but there are several impediments to even wider acceptance and use of simulation. One of the more significant limitations is the dependence of simulation on statistical methodology. This research identifies eighteen different statistical issues in simulation methodology and develops an expert system which could through interactive dialog with simulation analysts offer advice on statistical approaches which might be used to deal with particular issues and to accomplish required statistical computations. This research revises the previous study published in Simulation by incorporating additional statistical issues in the expert system to enhance its performance in analyzing a given simulation problem with statistical methodologies. An overview of the revised system is given and illustrations of the capabilities of the system are presented.

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A Data Mining Approach for a Dynamic Development of an Ontology-Based Statistical Information System

  • Mohamed Hachem Kermani;Zizette Boufaida;Amel Lina Bensabbane;Besma Bourezg
    • Journal of Information Science Theory and Practice
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    • v.11 no.2
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    • pp.67-81
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    • 2023
  • This paper presents a dynamic development of an ontology-based statistical information system supporting the collection, storage, processing, analysis, and the presentation of statistical knowledge at the national scale. To accomplish this, we propose a data mining technique to dynamically collect data relating to citizens from publicly available data sources; the collected data will then be structured, classified, categorized, and integrated into an ontology. Moreover, an intelligent platform is proposed in order to generate quantitative and qualitative statistical information based on the knowledge stored in the ontology. The main aims of our proposed system are to digitize administrative tasks and to provide reliable statistical information to governmental, economic, and social actors. The authorities will use the ontology-based statistical information system for strategic decision-making as it easily collects, produces, analyzes, and provides both quantitative and qualitative knowledge that will help to improve the administration and management of national political, social, and economic life.

Development of Statistical Process Control System for Tobacco Manufacturing Process (담배 제조 공정의 통계적 관리시스템 개발)

  • 김영호;송정호
    • Journal of the Korean Society of Tobacco Science
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    • v.23 no.1
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    • pp.53-59
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    • 2001
  • To decrease of deviations from target specifications and excessive variability around targe, we exclusively designed statistical process control system involving general manager and expert tool for cigarette manufacturing process. This system is a unique programming environment for the development of total process control software including various control charts according to data type and process capability analysis. Also this system includes the statistical analysis module to analyze defective causes immediately when inferior products are made and the module to offer regular reports. This system is customized considering the manufacture environment based on the opinions of workers.

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Study on Improving Oriental Medicine Statistical System for Multidimensional Statistical Data

  • Yea, Sang-Jun;Kim, Chul;Kim, Jin-Hyun;Jang, Hyun-Chul;Kim, Sang-Kyun;Song, Mi-Young
    • International Journal of Contents
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    • v.7 no.3
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    • pp.13-18
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    • 2011
  • Oriental medicine statistics are essential in research planning, research evaluation, and policy decision based on objective data. However, integrated administration of such statistics is not presently possible in the oriental medicine field, which has been slow in incorporating information communication technology. In an effort to address this problem, the Korea Institute of Oriental Medicine (KIOM) developed an oriental medicine statistical system in 2009, and the system has been offered in the traditional medicine information portal of OASIS. However, according to a 2010 survey targeting OASIS users, those surveys reported that needs for a system where various statistical data can be extracted via an interactive approach to multidimensional data. As a result of an analysis of the functions of the existing system, it was found that it is necessary to array and arithmetically analyze Stats Value, Drill Up & Drill Down, and Pivot. To this end, the existing DB schema should be redesigned. Based on our analysis result, we redesigned the database into a structure that is applicable to the reverse pivot algorithm. We used J2EE/JSP and a Flex framework to design and develop an oriental medicine statistical system that can provide multidimensional statistical data. Considering that the improved oriental medicine statistical system is planned to be offered by OASIS of KIOM, utilization and value of oriental medicine statistical data are expected to be enhanced.

Collaborative CRM using Statistical Learning Theory and Bayesian Fuzzy Clustering

  • Jun, Sung-Hae
    • Communications for Statistical Applications and Methods
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    • v.11 no.1
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    • pp.197-211
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    • 2004
  • According to the increase of internet application, the marketing process as well as the research and survey, the education process, and administration of government are very depended on web bases. All kinds of goods and sales which are traded on the internet shopping malls are extremely increased. So, the necessity of automatically intelligent information system is shown, this system manages web site connected users for effective marketing. For the recommendation system which can offer a fit information from numerous web contents to user, we propose an automatic recommendation system which furnish necessary information to connected web user using statistical learning theory and bayesian fuzzy clustering. This system is called collaborative CRM in this paper. The performance of proposed system is compared with the other methods using real data of the existent shopping mall site. This paper shows that the predictive accuracy of the proposed system is improved by comparison with others.