208 search results - page 4 / 42 » On Density Based Transforms for Uncertain Data Mining |
SDM
2009
SIAM
15 years 6 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
15 years 3 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
14 years 7 days 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
15 years 3 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...
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ICDE
2009
IEEE
15 years 11 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is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors.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...