OLAM挖掘机制的核心是高效的数据挖掘算法。

The efficient data mining algorithm is the core of OLAM.

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目的研究决策树算法在医学图像数据挖掘中的应用。

Aim To study the application of decision tree algorithm for medical image data mining.

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聚类算法是数据挖掘的核心技术。

Clustering method is the core of data mining technology.

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实验证明了这种算法在科学数据挖掘中是很有效的。

The experiment results show that the algorithm is very efficient in the scientific data mining.

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聚类算法是数据挖掘领域中非常重要的技术。

Cluster arithmetic is a very important technology in the area of data mining.

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说明：关于数据挖掘中的决策树id3算法的代码。

About Data Mining ID3 decision tree algorithm code.

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学者们已提出大量处理流数据的挖掘算法。

Many stream data mining algorithms have been proposed.

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介绍应用粗集理论和遗传算法相结合进行数据挖掘的方法。

The combined method of rough sets theory and genetic algorithms is applied to data mining.

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聚类算法是数据挖掘中的重要方法。

Clustering algorithm is an important method in data mining.

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本数据挖掘系统使用增量算法发现关联规则和提取决策规则。

The data mining system can discover association rules and decision rules.

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最后，将该算法应用到股票数据的趋势挖掘中，得到了满意的实验结果。

Finally experimental figures show it has nice performance in stock data min...

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最后，将该算法应用到股票数据的趋势挖掘中，得到了满意的实验结果。

Finally experimental figures show it has nice performance in stock data min...

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