16 search results - page 2 / 4 » PROWL: An Efficient Frequent continuity Mining Algorithm on ... |
IS
2008
13 years 4 months ago
2008
Discovering patterns with highly significance is an important problem in data mining discipline. An episode is defined to be a partially ordered set of events for a consecutive an...
APWEB
2006
Springer
13 years 8 months ago
2006
Springer
Discovering patterns with great significance is an important problem in data mining discipline. A serial episode is defined to be a partially ordered set of events for consecutive ...
JCIT
2010
12 years 11 months ago
2010
Sequence mining is an important data mining task. In order to retrieve interesting sequences from a large database, a minimum support threshold is needed to be specified. Unfortun...
KDD
2007
ACM
14 years 4 months ago
2007
ACM
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
ICDE
2009
IEEE
13 years 2 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 ...