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机译:使用多个邻域相似度的最近邻方法用于社交媒体数据挖掘
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China;
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China,Graduate University, Chinese Academy of Sciences, Beijing 100049, China;
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China;
Department of Computer Science, University of Texas at San Antonio, TX 78249, USA;
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China;
nearest neighbor method; multiple neighborhood similarity; visual categorization; locality sensitive hashing;
机译:从社交媒体数据中挖掘多个时空路径
机译:产品的多种分类:通过社交媒体数据挖掘对客户进行认知建模
机译:社交多媒体:在社交媒体应用程序中突出显示搜索和挖掘多媒体数据的机会
机译:多个亲和图上的平滑邻域结构挖掘及其在上下文敏感相似度中的应用
机译:社交用户挖掘:基于多媒体数据挖掘的社交媒体网络的用户配置文件。
机译:回归和数据挖掘方法用于分析遗传分析研讨会中的多重罕见变体17迷你极端数据
机译:社交用户挖掘:基于多媒体数据挖掘的社交媒体网络用户分析