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» Using Data Mining in MURA Graphic Problems
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SDM
2008
SIAM
121views Data Mining» more  SDM 2008»
15 years 5 months ago
Integration of Multiple Networks for Robust Label Propagation
Transductive inference on graphs such as label propagation algorithms is receiving a lot of attention. In this paper, we address a label propagation problem on multiple networks a...
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama
WSDM
2012
ACM
295views Data Mining» more  WSDM 2012»
13 years 12 months ago
A straw shows which way the wind blows: ranking potentially popular items from early votes
Prediction of popular items in online content sharing systems has recently attracted a lot of attention due to the tremendous need of users and its commercial values. Different fr...
Peifeng Yin, Ping Luo, Min Wang, Wang-Chien Lee
OTM
2010
Springer
15 years 2 months ago
A Hybrid Approach to Constructing Tag Hierarchies
Abstract. Folksonomies are becoming increasingly popular. They contain large amounts of data which can be mined and utilized for many tasks like visualization, browsing, informatio...
Geir Solskinnsbakk, Jon Atle Gulla
PAKDD
2005
ACM
184views Data Mining» more  PAKDD 2005»
15 years 10 months ago
Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis
Mixture models, such as Gaussian Mixture Model, have been widely used in many applications for modeling data. Gaussian mixture model (GMM) assumes that data points are generated fr...
Luo Si, Rong Jin
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
15 years 2 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu