图 书 馆开课单位--伊利诺伊大学
41
42
43
44
45
46
47
48
49
50
41Association Mining in Large Databases: A Re-examination of Its Measures[大型数据库中的关联挖掘：一种方法的再审视]
Jiawei Han(伊利诺伊大学) 大型数据库中的关联挖掘：一种方法的再审视
热度：41
Jiawei Han(伊利诺伊大学) 大型数据库中的关联挖掘：一种方法的再审视
热度：41
42MiTexCube: MicroTextCluster Cube for Online Analysis of Text Cells[MiTexCube：用于在线分析文本单元格的MicroTextCluster Cube]
Duo Zhang(伊利诺伊大学) A fundamental problem for analysis of multidimensional text databases is efficient and effective support of various kinds of online applications, such...
热度：43
Duo Zhang(伊利诺伊大学) A fundamental problem for analysis of multidimensional text databases is efficient and effective support of various kinds of online applications, such...
热度：43
43PET: A Statistical Model for Popular Events Tracking in Social Communities[宠物：一个社会团体中的社区流行事件跟踪的统计模型]
Cindy Xide Lin(伊利诺伊大学) User generated information in online communities has been characterized with the mixture of a text stream and a network structure both changing over t...
热度：105
Cindy Xide Lin(伊利诺伊大学) User generated information in online communities has been characterized with the mixture of a text stream and a network structure both changing over t...
热度：105
4445Euler Calculus and Topological Data Management[欧拉积分和拓扑数据管理]
Robert Ghrist(伊利诺伊大学) This talk covers the basic of an integral calculus based on Euler characteristic, and its utility in data problems, particularly in aggregation of red...
热度：49
Robert Ghrist(伊利诺伊大学) This talk covers the basic of an integral calculus based on Euler characteristic, and its utility in data problems, particularly in aggregation of red...
热度：49
46KDD Cup Winners[KDD杯冠军]
Bing Liu(伊利诺伊大学) Training data: Netflix Prize training data > 100 million ratings from over 480 thousand customers on nearly 18 thousand movies from October...
热度：57
Bing Liu(伊利诺伊大学) Training data: Netflix Prize training data > 100 million ratings from over 480 thousand customers on nearly 18 thousand movies from October...
热度：57
47Structure is Informative: On Mining Structured Information Networks[结构：结构化信息网络信息挖掘]
Jiawei Han(伊利诺伊大学) 现实世界中的很多物体相互连接，形成复杂的信息网络。有一个大量的挖掘信息网络中的对象和链接均被视为同一类型的研究，如朋友与朋友，或治疗indiscriminatively...
热度：39
Jiawei Han(伊利诺伊大学) 现实世界中的很多物体相互连接，形成复杂的信息网络。有一个大量的挖掘信息网络中的对象和链接均被视为同一类型的研究，如朋友与朋友，或治疗indiscriminatively...
热度：39
48Manifold Boost: Stagewise Function Approximation for Fully-, Semi- and Un-supervised Learning[助推：分段函数逼近流形为全，半和非监督学习]
Nicolas Loeff(伊利诺伊大学) We describe a manifold learning framework that naturally accommodates supervised learning manifold learning, partially supervised learning and unsuper...
热度：36
Nicolas Loeff(伊利诺伊大学) We describe a manifold learning framework that naturally accommodates supervised learning manifold learning, partially supervised learning and unsuper...
热度：36
49Mining, Indexing, and Searching Graphs in Large Data Sets[在大型数据集中挖掘，索引和搜索图形]
Jiawei Han(伊利诺伊大学) Recent research on pattern discovery has progressed from mining frequent itemsets and sequences to mining structured patterns including trees, lattice...
热度：39
Jiawei Han(伊利诺伊大学) Recent research on pattern discovery has progressed from mining frequent itemsets and sequences to mining structured patterns including trees, lattice...
热度：39
50Exploring Social Tagging Graph for Web Object Classification [网页对象分类的社会标记图研究]
Zhijun Yin(伊利诺伊大学) This paper studies web object classification problem with the novel exploration of social tags. Automatically classifying web objects into manageable ...
热度：37
Zhijun Yin(伊利诺伊大学) This paper studies web object classification problem with the novel exploration of social tags. Automatically classifying web objects into manageable ...
热度：37