66 search results - page 4 / 14 » Mining Sectorial Episodes from Event Sequences |
ADBIS
2000
Springer
14 years 3 days ago
2000
Springer
Data collected in many applications have a form of sequences of events. One of the popular data mining problems is discovery of frequently occurring episodes in such sequences. Eff...
DASFAA
2008
IEEE
13 years 9 months ago
2008
IEEE
We study a novel problem of mining significant recurrent rules from a sequence database. Recurrent rules have the form "whenever a series of precedent events occurs, eventuall...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
ECAI
2004
Springer
14 years 1 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...