51 search results - page 3 / 11 » A Logical Framework for Frequent Pattern Discovery in Spatia... |
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
KDD
2005
ACM
14 years 7 months ago
2005
ACM
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
SSD
1995
Springer
13 years 11 months ago
1995
Springer
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Zonal co-location patterns represent subsets of featuretypes that are frequently located in a subset of space (i.e., zone). Discovering zonal spatial co-location patterns is an im...
DMKD
2003
ACM
14 years 19 days ago
2003
ACM
We analyze expression matrices to identify a priori interesting sets of genes, e.g., genes that are frequently co-regulated. Such matrices provide expression values for given biol...