5733 search results - page 354 / 1147 » Clustering Categorical Data |
196
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EACL
2006
ACL Anthology
15 years 9 months ago
2006
ACL Anthology
In the current project, we aim at developing an approach for automatically answering why-questions. We created a data collection for research, development and evaluation of a meth...
247
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KDD
2007
ACM
16 years 8 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
165
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ICDM
2007
IEEE
16 years 1 months ago
2007
IEEE
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
198
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PKDD
1999
Springer
15 years 12 months ago
1999
Springer
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
232
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DEXA
2009
Springer
16 years 2 months ago
2009
Springer
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...