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» Clustering Improves the Exploration of Graph Mining Results
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WWW
2004
ACM
16 years 17 days ago
Similarity spreading: a unified framework for similarity calculation of interrelated objects
In many Web search applications, similarities between objects of one type (say, queries) can be affected by the similarities between their interrelated objects of another type (sa...
Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Wei-Ying M...
TKDE
2010
137views more  TKDE 2010»
14 years 10 months ago
A Survey on Transfer Learning
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
Sinno Jialin Pan, Qiang Yang
WINE
2005
Springer
179views Economy» more  WINE 2005»
15 years 5 months ago
A Graph-Theoretic Network Security Game
Consider a network vulnerable to viral infection. The system security software can guarantee safety only to a limited part of the network. Such limitations result from economy cos...
Marios Mavronicolas, Vicky G. Papadopoulou, Anna P...
ICDM
2008
IEEE
92views Data Mining» more  ICDM 2008»
15 years 6 months ago
A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation
Recent research has shown that collective classification in relational data often exhibit significant performance gains over conventional approaches that classify instances indi...
Pelin Angin, Jennifer Neville
WEA
2005
Springer
176views Algorithms» more  WEA 2005»
15 years 5 months ago
High-Performance Algorithm Engineering for Large-Scale Graph Problems and Computational Biology
Abstract. Many large-scale optimization problems rely on graph theoretic solutions; yet high-performance computing has traditionally focused on regular applications with high degre...
David A. Bader