33 search results - page 3 / 7 » Finding All Frequent Patterns Starting from the Closure |
ADC
2003
Springer
13 years 11 months ago
2003
Springer
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
CINQ
2004
Springer
13 years 9 months ago
2004
Springer
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
KDD
2007
ACM
14 years 6 months ago
2007
ACM
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
ICDM
2009
IEEE
13 years 3 months ago
2009
IEEE
Discovering episodes, frequent sets of events from a sequence has been an active field in pattern mining. Traditionally, a level-wise approach is used to discover all frequent epis...
CIB
2004
13 years 5 months ago
2004
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyz...