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» Phenomenal Data Mining: From Data to Phenomena
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121
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PAKDD
2007
ACM
110views Data Mining» more  PAKDD 2007»
15 years 8 months ago
Combining Convolution Kernels Defined on Heterogeneous Sub-structures
Convolution kernels, constructed by convolution of sub-kernels defined on sub-structures of composite objects, are widely used in classification, where one important issue is to ch...
Minlie Huang, Xiaoyan Zhu
PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
15 years 8 months ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...
145
Voted
ADMA
2006
Springer
172views Data Mining» more  ADMA 2006»
15 years 7 months ago
Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm
Abstract. Practical pattern classification and knowledge discovery problems require selecting a useful subset of features from a much larger set to represent the patterns to be cl...
Keunjoon Lee, Jinu Joo, Jihoon Yang, Vasant Honava...
ADMA
2006
Springer
112views Data Mining» more  ADMA 2006»
15 years 7 months ago
Finding Time Series Discords Based on Haar Transform
The problem of finding anomaly has received much attention recently. However, most of the anomaly detection algorithms depend on an explicit definition of anomaly, which may be i...
Ada Wai-Chee Fu, Oscar Tat-Wing Leung, Eamonn J. K...
95
Voted
ICDM
2005
IEEE
128views Data Mining» more  ICDM 2005»
15 years 7 months ago
Supervised Ordering - An Empirical Survey
Ordered lists of objects are widely used as representational forms. Such ordered objects include Web search results or bestseller lists. In spite of their importance, methods of p...
Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho