Abstract: In order to improve the performance of mining the frequent pattern in parallel.This article introduces a new parallel algorithm based on FP-growth for mining frequent pattern.The algorithm distributes the work fairly among each computing node，and each node returns the result after mining.According to the experimental results，the algorithm achieves a good performance and load balance.

摘要： 针对在大数据量频繁模式挖掘的时候，有效地利用空闲的计算资源，提出一种基于FP-growth算法的并行算法。该算法有效地将FP-growth主要的计算部分合理地分配到各个计算节点上，各个节点独立完成挖掘后返回结果，从而缩短总计算时间。实验证明，该算法可以完整高效地挖掘频繁模式，并且实现均衡负载。