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TOWARDS VISUAL DATA MINING

机译:朝着视觉数据挖掘

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摘要

In this paper, we present our work in a new data mining approach called Visual Data Mining (VDM). This new approach tries to involve the user (being the data expert not a data mining or analysis specialist) more intensively in the data mining process and to increase the part of the visualisation in this process. The visualisation part can be increased with cooperative tools: the visualisation is used as a pre- or postprocessing step of usual (automatic) data mining algorithms, or the visualisation tools can be used instead of the usual automatic algorithms. All these topics are addressed in this paper with an evaluation of the algorithms presented and a discussion of the interactive algorithms compared with automatic ones. All this work must be improved in order to allow the data specialists to efficiently use these kinds of algorithms to solve their problems.
机译:在本文中,我们在一个名为Visual Data Mining(VDM)的新数据挖掘方法中的工作。这种新方法试图在数据挖掘过程中更集中涉及用户(成为数据专家而不是数据挖掘或分析专家),并在此过程中增加可视化的一部分。可视化部分可以用协作工具增加:可视化用作通常(自动)数据挖掘算法的预处理或后处理步骤,或者可以使用可视化工具而不是通常的自动算法。本文在本文中解决了所有这些主题,并评估了所呈现的算法和与自动算法相比的交互式算法的讨论。必须改进所有这些工作,以便数据专家有效地使用这些种类的算法来解决他们的问题。

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