3245 search results - page 367 / 649 » Mining Transformed Data Sets |
169
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SEBD
2008
15 years 8 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...
202
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PKDD
2005
Springer
16 years 5 days 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...
153
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
An effective approach to detect anomalous points in a data set is distance-based outlier detection. This paper describes a simple sampling algorithm to efficiently detect distance...
167
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KDD
2004
ACM
16 years 7 months ago
2004
ACM
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
183
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KDD
2003
ACM
16 years 7 months ago
2003
ACM
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...