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DATA MINING: PATTERN MINING AS A CLIQUE EXTRACTING TASK

机译:数据挖掘:模式挖掘作为Clique提取任务

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One of the important tasks in solving data mining problems is finding frequent patterns in a given dataset. It allows to handle several tasks such as pattern mining, discovering association rules, clustering etc. There are several algorithms to solve this problem. In this paper we describe our task and results: a method for reordering a data matrix to give it a more informative form, problems of large datasets, (frequent) pattern finding task. Finally we show how to treat a data matrix as a graph, a pattern as a clique and pattern mining process as a clique extracting task. We present also a fast diclique extracting algorithm for pattern mining.
机译:解决数据挖掘问题的重要任务之一是在给定的数据集中找到频繁的模式。它允许处理多种任务,如模式挖掘,发现关联规则,聚类等。有几种算法可以解决这个问题。在本文中,我们描述了我们的任务和结果:一种重新排序数据矩阵的方法,以使其成为一种更具信息性的形式,大数据集的问题(频繁)模式查找任务。最后,我们展示了如何将数据矩阵视为图形,作为一个Clique提取任务的模式和模式挖掘过程。我们还提供了一种快速的模式挖掘提取算法。

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