58 search results - page 4 / 12 » An Adaptive and Efficient Dimensionality Reduction Algorithm... |
KDD
2001
ACM
14 years 6 months ago
2001
ACM
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
ICDE
2008
IEEE
14 years 7 months ago
2008
IEEE
Abstract-- Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as ka...
BMEI
2008
IEEE
13 years 7 months ago
2008
IEEE
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
ICDE
2008
IEEE
14 years 7 months ago
2008
IEEE
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...
SIGMOD
2006
ACM
14 years 5 months ago
2006
ACM
Given a d-dimensional data set, a point p dominates another point q if it is better than or equal to q in all dimensions and better than q in at least one dimension. A point is a ...