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Reserch on application of data mining technology in decision of underground relic

机译:数据挖掘技术在地下文物决策中的应用研究

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Using computer information technology and data mining technology can automatic identification of underground abnormal body. Comparing the Correlation algorithm of advantages and disadvantages, take a small area of archaeological sites in the magnetic data as the sample data, the training model using fuzzy clustering algorithm, and then modified with the actual situation. A large area of the site use K nearest neighbor algorithm. The method of classification results according with the experts explain and match the actual excavation. The efficiency of the identification and work has been improved significantly. Data mining techniques applied to archaeological exploration geophysical data processing is the future of intelligent data-processing development trend.
机译:利用计算机信息技术和数据挖掘技术可以自动识别地下异常体。比较相关算法的优缺点,以小范围的考古遗址中的磁数据为样本数据,采用模糊聚类算法训练模型,然后根据实际情况进行修改。该站点的很大一部分使用K最近邻算法。根据专家对结果的分类方法对实际开挖进行解释和匹配。识别和工作的效率已大大提高。应用于考古勘探物探数据处理的数据挖掘技术是未来智能数据处理发展的趋势。

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