2450 search results - page 39 / 490 » Mining Model Trees from Spatial Data |
115
click to vote
AAAI
2011
14 years 16 days ago
2011
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
106
Voted
CIBCB
2009
IEEE
15 years 1 months ago
2009
IEEE
Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed inte...
119
Voted
CIKM
2008
Springer
15 years 2 months ago
2008
Springer
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
118
Voted
PAKDD
1998
ACM
15 years 4 months ago
1998
ACM
Abstract. Approaches to data mining proposed so far are mainly symbolic decision trees and numerical feedforward neural networks methods. While decision trees give, in many cases, ...
124
click to vote
MCS
2005
Springer
15 years 6 months ago
2005
Springer
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...