37 search results - page 3 / 8 » Parallel mining of closed sequential patterns |
EUROPAR
2001
Springer
13 years 9 months ago
2001
Springer
Discovery of sequential patterns is becoming increasingly useful and essential in many scienti c and commercial domains. Enormous sizes of available datasets and possibly large nu...
EGC
2009
Springer
13 years 3 months ago
2009
Springer
PPOPP
2005
ACM
13 years 10 months ago
2005
ACM
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
ICDE
2009
IEEE
13 years 3 months ago
2009
IEEE
There is a huge wealth of sequence data available, for example, customer purchase histories, program execution traces, DNA, and protein sequences. Analyzing this wealth of data to ...
ICDM
2010
IEEE
13 years 3 months ago
2010
IEEE
Discovering patterns in a sequence is an important aspect of data mining. One popular choice of such patterns are episodes, patterns in sequential data describing events that often...