15 search results - page 2 / 3 » Scalable APRIORI-Based Frequent Pattern Discovery |
ICDE
2010
IEEE
13 years 10 months ago
2010
IEEE
Existing sequence mining algorithms mostly focus on mining for subsequences. However, a large class of applications, such as biological DNA and protein motif mining, require effici...
ICDM
2007
IEEE
14 years 11 days 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...
EDBT
2009
ACM
14 years 26 days ago
2009
ACM
To our best knowledge, all existing graph pattern mining algorithms can only mine either closed, maximal or the complete set of frequent subgraphs instead of graph generators whic...
ICDM
2005
IEEE
13 years 11 months ago
2005
IEEE
Spatial co-location patterns represent the subsets of features whose instances are frequently located together in geographic space. Co-location pattern discovery presents challeng...
CIKM
2008
Springer
13 years 8 months ago
2008
Springer
In the past, quite a few fast algorithms have been developed to mine frequent patterns over graph data, with the large spectrum covering many variants of the problem. However, the...