7150 search results - page 949 / 1430 » Graph-Based Data Mining |
160
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INCDM
2007
Springer
15 years 11 months ago
2007
Springer
Abstract. Clustering algorithms for multidimensional numerical data must overcome special difficulties due to the irregularities of data distribution. We present a clustering algo...
157
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PKDD
2005
Springer
15 years 10 months ago
2005
Springer
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...
123
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ILP
2003
Springer
15 years 10 months ago
2003
Springer
Propositionalization has already been shown to be a particularly promising approach for robustly and effectively handling relational data sets for knowledge discovery. In this pap...
139
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SEBD
2008
15 years 6 months ago
2008
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
166
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IDA
2006
Springer
15 years 5 months ago
2006
Springer
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...