34 search results - page 3 / 7 » Mining Frequent Diamond Episodes from Event Sequences |
KDD
2012
ACM
11 years 10 months ago
2012
ACM
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
SP
2008
IEEE
13 years 7 months ago
2008
IEEE
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
ICDM
2009
IEEE
13 years 5 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...
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...
ICDM
2010
IEEE
13 years 5 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...