8776 search results - page 400 / 1756 » Robust Data Clustering |
165
click to vote
TKDE
2002
15 years 6 months ago
2002
A join-index is a data structure used for processing join queries in databases. Join-indices use precomputation techniques to speed up online query processing and are useful for da...
213
click to vote
KDD
2007
ACM
16 years 7 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...
153
click to vote
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...
171
click to vote
PKDD
1999
Springer
15 years 11 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...
199
click to vote
DEXA
2009
Springer
16 years 1 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...