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Visualization-Based Selection-Aimed Data Mining With Fuzzy Data

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  • ALEXANDER V. LOTOV

    (Dorodnicyn Computing Centre of Russian Academy of Sciences, and Lomonosov Moscow State University, Moscow, Russia)

Abstract

The paper is devoted to a visualization-based method for exploration of relational databases that contain large volumes of uncertain data. The visualization is aimed at exploration of properties of the data and selecting a small number of interesting items from the database. The method introduced here is a new development of the Reasonable Goals method, which has already been implemented on Internet in the form of the Web application server. Thus, the new method can be applied on Internet, too. It can be used for selection-aimed data mining in various fields including environmental planning, machinery design, financial planning (including credit operations), biology and medicine.

Suggested Citation

  • Alexander V. Lotov, 2006. "Visualization-Based Selection-Aimed Data Mining With Fuzzy Data," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(04), pages 611-621.
    • Handle: RePEc:wsi:ijitdm:v:05:y:2006:i:04:n:s0219622006002155
    DOI: 10.1142/S0219622006002155
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