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ICDM
2006
IEEE
76views Data Mining» more  ICDM 2006»
14 years 4 months ago
A Probabilistic Ensemble Pruning Algorithm
An ensemble is a group of learners that work together as a committee to solve a problem. However, the existing ensemble training algorithms sometimes generate unnecessary large en...
Huanhuan Chen, Peter Tiño, Xin Yao
ICDM
2006
IEEE
154views Data Mining» more  ICDM 2006»
14 years 4 months ago
Mining and Predicting Duplication over Peer-to-Peer Query Streams
Many previous works of data mining user queries in Peer-to-Peer systems focused their attention on the distribution of query contents. However, few has been done towards a better ...
Shicong Meng, Yifeng Shao, Cong Shi, Dingyi Han, Y...
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
14 years 4 months ago
Automatic Construction of N-ary Tree Based Taxonomies
Hierarchies are an intuitive and effective organization paradigm for data. Of late there has been considerable research on automatically learning hierarchical organizations of dat...
Kunal Punera, Suju Rajan, Joydeep Ghosh
ICDM
2009
IEEE
205views Data Mining» more  ICDM 2009»
14 years 5 months ago
Active Selection of Sensor Sites in Remote Sensing Applications
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....
Debasish Das, Zoran Obradovic, Slobodan Vucetic
ICDM
2008
IEEE
106views Data Mining» more  ICDM 2008»
14 years 5 months ago
Metropolis Algorithms for Representative Subgraph Sampling
While data mining in chemoinformatics studied graph data with dozens of nodes, systems biology and the Internet are now generating graph data with thousands and millions of nodes....
Christian Hübler, Hans-Peter Kriegel, Karsten...