结合数据挖掘和人类专业知识来制定决策、感觉和政策

H. Viktor, H. Arndt
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引用次数: 11

摘要

发达国家管理面临的一个主要挑战是提高知识和服务工作者,即决策者的绩效。在南非这样一个商业部门发达的发展中国家,这种需求,特别是在政府方面,更为重要。在21世纪,南非必须面对许多新的挑战——日益严重的环境问题、大规模的社会和经济不平等、艾滋病毒的高发病率、低生产率、大规模失业以及国家在非洲的角色演变等。一个健全的科学和技术政策框架对于解决这些紧迫问题的重要性怎么强调都不过分。本文讨论了从一个关于南非国家研究和技术(NRT)审计的数据库中构建一个知识库。这个知识库将在为南非制定科学和技术政策框架时用作一种援助。知识库的构建采用了合作模型。
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Combining data mining and human expertise for making decisions, sense and policies
A major challenge facing management in developed countries is improving the performance of knowledge and service workers, i.e. the decision and policy makers. In a developing country such as South Africa, with a well‐developed business sector, this need, especially in government, is even more crucial. South Africa has to face many new challenges in the 21st century ‐ growing environmental concerns, massive social and economic inequalities, high occurrences of HIV, low productivity, massive unemployment and the nation’s evolving role in Africa, amongst others. The importance of a sound science and technology policy framework to address these pressing issues cannot be overemphasised This paper discusses the construction of a knowledge‐base from a data repository concerning a South African National Research and Technology (NRT) Audit. This knowledge‐base is to be used as an aid when developing a science and technology policy framework for South Africa. The knowledge‐base is constructed using the cooperative ...
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来源期刊
Journal of Systems and Information Technology
Journal of Systems and Information Technology Computer Science-Computer Science (all)
CiteScore
4.40
自引率
0.00%
发文量
18
期刊介绍: The Journal provides an avenue for scholarly work that researches systems thinking applications, information systems, electronic business, data analytics, information sciences, information management, business intelligence, and complex adaptive systems in the application domains of the business environment, health, the built environment, cultural settings, and the natural environment. Papers examine the wider implications of the systems or technology being researched. This means papers consider aspects such as social and organisational relevance, business value, cognitive implications, social implications, impact on individuals or community perspectives, and the development of solutions, rather than focusing solely on the technology. The Journal of Systems and Information Technology is open to a wide range of research methodologies and paper styles including case studies, surveys, experiments, review papers, design science, design thinking and both theoretical and methodological papers. The focus of the journal will be to publish work that fits into the following broad areas of research: Behavioural Information Systems and Human-Computer Interaction, Data Analytics, Data, Information and Security, E-Business, Intelligent Systems and Applications, Logistics and Supply Chain Management/Optimisation, Social Media Analysis, Technology Enhanced Learning.
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