Compared with Apriori algorithm and FP-growth algorithm, Combination Tree algorithm has better efficiency.
与Apriori算法和FP - growth算法相比，该算法具有更好的效率。
This paper proposes a new algorithm for mining association rules with composite items based on the FP-growth algorithm.
文章基于FP-增长算法提出了一种新的挖掘复合项关联规则的算法。
Finally, valuable decision-making information is discovered by using the parallel algorithm based on FP-growth while mining the association rules of online transactions.
利用该算法对网上交易进行关联规则挖掘，发现了有价值的决策支持信息。
A distinct head list of vertical item is designed to facilitate recoding vertical data, rebuilding transactions, constructing FP-growth tree and updating augment of vertical data.
设计了独特的垂直项目头表独特的存储结构，便于垂直数据的存储、事务的投影、FP树的建立和垂直数据的增量更新。
This paper presents a new algorithm for distributed mining association rules with item constraints called DAMICFP, which is based on a new type algorithm for association rule mining, FP-growth.
在分布式环境中挖掘约束性关联规则是当前研究的热点问题之一。
Faster Frequent Pattern Growth (FPGrowth) using FP-bonsai pruning.
采用FP -bonsai pruning而实现更快的频繁模式增长(Frequent Pattern Growtt)算法。
Faster Frequent Pattern Growth (FPGrowth) using FP-bonsai pruning.
采用FP -bonsai pruning而实现更快的频繁模式增长(Frequent Pattern Growtt)算法。
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