18 search results - page 3 / 4 » Dense itemsets |
ICDE
2003
IEEE
14 years 7 months ago
2003
IEEE
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
IDA
2002
Springer
13 years 5 months ago
2002
Springer
Levelwise algorithms (e.g., the Apriori algorithm) have been proved eective for association rule mining from sparse data. However, in many practical applications, the computation ...
FIMI
2003
13 years 7 months ago
2003
We present a depth-first algorithm, PatriciaMine, that discovers all frequent itemsets in a dataset, for a given support threshold. The algorithm is main-memory based and employs...
KAIS
2008
13 years 5 months ago
2008
A complete set of frequent itemsets can get undesirably large due to redundancy when the minimum support threshold is low or when the database is dense. Several concise representat...
CORR
2012
Springer
12 years 1 months ago
2012
Springer
In this work, we study the correlation between attribute sets and the occurrence of dense subgraphs in large attributed graphs, a task we call structural correlation pattern minin...