2071 search results - page 254 / 415 » An Empirical Evaluation of LFG-DOP |
111
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KDD
2008
ACM
16 years 1 months ago
2008
ACM
We propose a family of novel cost-sensitive boosting methods for multi-class classification by applying the theory of gradient boosting to p-norm based cost functionals. We establ...
109
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KDD
2007
ACM
16 years 1 months ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
107
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KDD
2006
ACM
16 years 1 months ago
2006
ACM
In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining pro...
130
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KDD
2004
ACM
16 years 1 months ago
2004
ACM
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
KDD
2003
ACM
16 years 1 months ago
2003
ACM
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....