机译:Top-k:在空间不确定数据集中的概率普遍共处位置挖掘
Department of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming 650091, China;
Department of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming 650091, China;
Department of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming 650091, China;
Department of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming 650091, China;
spatial co-location mining; top-k probabilistic prevalent co-location mining; spatially uncertain data sets; matrix methods;
机译:在空间不确定的数据集中查找概率普遍共处
机译:利用空间数据集的集群项挖掘联合定位模式
机译:Knfcom-t:使用T树在大空间数据集上基于κ最近特征的共置模式挖掘算法
机译:从连续分布的不确定空间数据中挖掘同一位置
机译:从大型空间数据集中挖掘共置模式。
机译:从时程比较基因表达数据集中挖掘差异性top-k共表达模式
机译:利用概率方法改进了不确定数据集中的共同定位挖掘近似算法
机译:挖掘大规模地球科学数据集的概率方法