学术报告396：云计算与大数据时代的高性能计算

学术报告397：AnySCAN: An Efficient Anytime Framework with Active Learning for Large-scale Network Cluste

报 告 人：Professor Xiaowei Xu  University of Arkansas, Little Rock (UALR), USA报告时间：06月07日（周四）10:00～11:30报告地点：宝山校区计算机大楼1104室邀 请 人：赵 越 报告摘要：Big data is highly complex with many interrelated elements, which can be modeled as a graph or network by connecting the interrelated elements. Social networks include community groups based on common location, interests, occupation,...

学术报告397：AnySCAN: An Efficient Anytime Framework with Active Learning for Large-scale Network Cluste

报 告 人：Professor Xiaowei Xu  University of Arkansas, Little Rock (UALR), USA报告时间：06月07日（周四）10:00～11:30报告地点：宝山校区计算机大楼1104室邀 请 人：赵 越 报告摘要：Big data is highly complex with many interrelated elements, which can be modeled as a graph or network by connecting the interrelated elements. Social networks include community groups based on common location, interests, occupation,...

学术报告396：云计算与大数据时代的高性能计算

学术报告396：云计算与大数据时代的高性能计算

学术报告397：AnySCAN: An Efficient Anytime Framework with Active Learning for Large-scale Network Cluste

学术报告396：云计算与大数据时代的高性能计算

学术报告397：AnySCAN: An Efficient Anytime Framework with Active Learning for Large-scale Network Cluste

报 告 人：Professor Xiaowei Xu  University of Arkansas, Little Rock (UALR), USA报告时间：06月07日（周四）10:00～11:30报告地点：宝山校区计算机大楼1104室邀 请 人：赵 越 报告摘要：Big data is highly complex with many interrelated elements, which can be modeled as a graph or network by connecting the interrelated elements. Social networks include community groups based on common location, interests, occupation,...

学术报告395：基于电阻网络的节点与边的中心性

学术报告395：基于电阻网络的节点与边的中心性