摘要
传统的FP-Growth算法在挖掘关联规则时,存在生成的频繁模式树可能无法实际调入内存运行和处理过程串行执行的缺点。该文研究基于FP-Growth算法的关联规则挖掘并行算法,为挖掘大型数据库中的关联规则提供了参考。
Traditional FP-Growth algorithm has the shortcomings of probabUy failing to put FP-tree into memory for actually operating and the serial processing. This paper researches the parallel algorithms based on FP-Growth algorithm, and it is a good reference for mining association rules in large databases.
作者
郝志斌
HAO Zhi-bin (School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)
出处
《电脑知识与技术》
2011年第4期2220-2221,2225,共3页
Computer Knowledge and Technology