1836 search results - page 141 / 368 » Mining Clustering Dimensions |
117
click to vote
ICDM
2006
IEEE
15 years 8 months ago
2006
IEEE
Data mining is frequently obstructed by privacy concerns. In many cases data is distributed, and bringing the data together in one place for analysis is not possible due to privac...
124
click to vote
SDM
2007
SIAM
15 years 3 months ago
2007
SIAM
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
ICANN
2005
Springer
15 years 7 months ago
2005
Springer
Multidimensional Scaling (MDS) is a powerful dimension reduction technique for embedding high-dimensional data into a lowdimensional target space. Thereby, the distance relationshi...
98
Voted
KDD
2004
ACM
16 years 2 months ago
2004
ACM
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
113
click to vote
DMKD
2004
ACM
15 years 7 months ago
2004
ACM
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...