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Research into the Algorithm of Frequent Pattern Mining Based on Across Linker

机译:基于接头的频繁模式挖掘算法研究

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Frequent itemsets mining is an important data mining task and a focused theme in data mining research. Apriori algorithm is one of the most important algorithm of mining frequent itemsets. However, the Apriori algorithm scans the database too many times, so its efficiency is relatively low. The paper has therefore conducted a research on the mining frequent itemsets algorithm based on a across linker. Through comparing with the classical algorithm, the improved algorithm has obvious advantages.
机译:频繁的项目挖掘是一种重要的数据挖掘任务和数据挖掘研究中的重点主题。 APRIORI算法是频繁项目集最重要的矿物算法之一。但是,Apriori算法太多次数扫描了数据库,因此其效率相对较低。因此,本文对基于跨接线堆的挖掘频繁项集算法进行了研究。通过与经典算法进行比较,改进的算法具有明显的优点。

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