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1996 Volume 11
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RESEARCH ARTICLE   Open Access    

Intelligent data analysis: issues and challenges

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  • Two phenomena have probably affected modern data analysts' lives more than anything else. First, the size of real-world data sets is getting increasingly large, especially during the last decade or so. Second, modern computational methods and tools are being developed which add further capability to traditional statistical analysis tools. These two developments have created a new range of problems and challenges for analysts, as well as new opportunities for intelligent systems in data analysis.
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  • Cite this article

    Xiaohui Liu. 1996. Intelligent data analysis: issues and challenges. The Knowledge Engineering Review. 11:55 doi: 10.1017/S0269888900008055
    Xiaohui Liu. 1996. Intelligent data analysis: issues and challenges. The Knowledge Engineering Review. 11:55 doi: 10.1017/S0269888900008055

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RESEARCH ARTICLE   Open Access    

Intelligent data analysis: issues and challenges

The Knowledge Engineering Review  11 Article number: 10.1017/S0269888900008055  (1996)  |  Cite this article

Abstract: Two phenomena have probably affected modern data analysts' lives more than anything else. First, the size of real-world data sets is getting increasingly large, especially during the last decade or so. Second, modern computational methods and tools are being developed which add further capability to traditional statistical analysis tools. These two developments have created a new range of problems and challenges for analysts, as well as new opportunities for intelligent systems in data analysis.

    • Copyright © Cambridge University Press 19961996Cambridge University Press
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    Cite this article
    Xiaohui Liu. 1996. Intelligent data analysis: issues and challenges. The Knowledge Engineering Review. 11:55 doi: 10.1017/S0269888900008055
    Xiaohui Liu. 1996. Intelligent data analysis: issues and challenges. The Knowledge Engineering Review. 11:55 doi: 10.1017/S0269888900008055
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