185 search results - page 14 / 37 » Probing Knowledge in Distributed Data Mining |
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
DAGSTUHL
2004
13 years 9 months ago
2004
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
SDM
2012
SIAM
11 years 10 months ago
2012
SIAM
Early stress recognition is of great relevance in precision plant protection. Pre-symptomatic water stress detection is of particular interest, ultimately helping to meet the chal...
GFKL
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the ...