396 search results - page 1 / 80 » Lossy Reduction for Very High Dimensional Data |
ICDE
2002
IEEE
13 years 10 months ago
2002
IEEE
We consider the use of data reduction techniques for the problem of approximate query answering. We focus on applications for which accurate answers to selective queries are requi...
CCGRID
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
PODS
2001
ACM
14 years 5 months ago
2001
ACM
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
ICDM
2002
IEEE
13 years 10 months ago
2002
IEEE
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
SIGMOD
2002
ACM
14 years 5 months ago
2002
ACM
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...