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117
Voted
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 1 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
KDD
2007
ACM
249views Data Mining» more  KDD 2007»
16 years 1 months ago
The minimum consistent subset cover problem and its applications in data mining
In this paper, we introduce and study the Minimum Consistent Subset Cover (MCSC) problem. Given a finite ground set X and a constraint t, find the minimum number of consistent sub...
Byron J. Gao, Martin Ester, Jin-yi Cai, Oliver Sch...
KDD
2006
ACM
139views Data Mining» more  KDD 2006»
16 years 1 months ago
Generating semantic annotations for frequent patterns with context analysis
As a fundamental data mining task, frequent pattern mining has widespread applications in many different domains. Research in frequent pattern mining has so far mostly focused on ...
Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, Che...
123
Voted
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 1 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
115
Voted
CHI
2007
ACM
16 years 1 months ago
Social practices in location-based collecting
The use of location-based technology to augment visitor experiences has received considerable attention over the years. In this paper, we take an alternative perspective on these ...
Kenton O'Hara, Tim Kindberg, Maxine Glancy, Lucian...
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