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FP-tree algorithm applied in logistics warehousing mining

机译:FP-tree算法在物流仓储挖掘中的应用

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摘要

As data mining is widely used in all walks of life, it also of great significance in the application of logistics management. Through the association rules mining, the reasonable storage location of commodities can be found. This paper mainly introduces using FP-tree algorithm to effectively mining logistics warehousing information. Combined with the case analysis, it's obvious to find the efficiency and scalability of the algorithm applied in logistics warehousing mining.
机译:由于数据挖掘在各行各业中得到广泛应用,因此在物流管理中的应用也具有重要意义。通过关联规则挖掘,可以找到商品的合理存放位置。本文主要介绍使用FP-tree算法来有效挖掘物流仓储信息。结合案例分析,很明显地发现了该算法在物流仓库挖掘中的效率和可扩展性。

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