In this paper, a novel decision table discretization algorithm is presented, which has fine attribute reduction function in time of data discretization and increases quality of classification.
本文提出了一个新的决策表离散化算法，该算法在离散化数据的同时具有良好的属性约简功能。
Discusses the basic theory, implementation steps of attribute connection by spatial position, and puts up with the countermeasures for the quality control and check of the spatial data.
探讨了空间位置的属性连接方法的理论基础与实施步骤，并提出了空间数据的质量控制与检查的对策。
Designing the function to check vector attribute data 's quality, which entitles the users to amend the attribute data based on the checking result.
设计矢量属性数据的质量检查功能，并且用户可根据检查结果手工对属性数据进行修改。
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