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» Phenomenal Data Mining: From Data to Phenomena
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ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
15 years 8 months ago
Clustering with Multiple Graphs
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...
Wei Tang, Zhengdong Lu, Inderjit S. Dhillon
SDM
2004
SIAM
194views Data Mining» more  SDM 2004»
15 years 3 months ago
Finding Frequent Patterns in a Large Sparse Graph
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
Michihiro Kuramochi, George Karypis
134
Voted
ISB
2002
140views more  ISB 2002»
15 years 1 months ago
Computer system "Gene Discovery" for promoter structure analysis
Data Mining and Knowledge Discovery techniques proved to be efficient tools for variety of complex tasks in biology including DNA research. This paper presents implementation of th...
Eugenii E. Vityaev, Yuri L. Orlov, Oleg V. Vishnev...
118
Voted
PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
15 years 5 days ago
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
Zhao Xu, Kristian Kersting, Thorsten Joachims
SDM
2010
SIAM
129views Data Mining» more  SDM 2010»
15 years 4 days ago
Cross-Selling Optimization for Customized Promotion
The profit of a retail product not only comes from its own sales, but also comes from its influence on the sales of other products. How to promote the right products to the righ...
Nan Li, Yinghui Yang, Xifeng Yan