机译:一种基于MapReduce的频繁项集挖掘算法
School of Computer Science and Technology, Faculty of Electronic Information and Electrical Engineering, and School of Innovation and Experiment, Dalian University of Technology Dalian 116024, China;
School of Computer Science and Technology, Faculty of Electronic Information and Electrical Engineering, and School of Innovation and Experiment, Dalian University of Technology Dalian 116024, China;
School of Computer Science and Technology, Faculty of Electronic Information and Electrical Engineering, and School of Innovation and Experiment, Dalian University of Technology Dalian 116024, China;
School of Computer Science and Technology, Faculty of Electronic Information and Electrical Engineering, and School of Innovation and Experiment, Dalian University of Technology Dalian 116024, China;
Frequent Itemsets; Frequent Patterns; Big Data; MapReduce; Data Mining;
机译:基于MapReduce的分布式频繁项目集矿业算法的范例与性能分析
机译:高效的子格算法,用于挖掘数据流中的封闭频率项和最大频率项
机译:使用MapReduce框架从大型数据集中挖掘频繁项目集的新型比特矢量产品算法
机译:基于MapRognduce在云计算环境中的频繁项目挖掘算法研究
机译:在某些不确定数据库中频繁进行顺序模式和项集数据挖掘的新算法。
机译:挖掘容错频繁项集的有效模式增长方法
机译:基于FP-Grangic算法的开发的频繁项目开采,并使用MapReduce技术