208 search results - page 4 / 42 » On Density Based Transforms for Uncertain Data Mining |
31
Voted
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
AI
2005
Springer
14 years 1 months ago
2005
Springer
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we ...
SDM
2011
SIAM
12 years 10 months ago
2011
SIAM
Motivated by sensor networks, mobility data, biology and life sciences, the area of mining uncertain data has recently received a great deal of attention. While various papers hav...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
ICDE
2009
IEEE
14 years 9 months ago
2009
IEEE
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...