34 search results - page 2 / 7 » Mining Frequent Diamond Episodes from Event Sequences |
DIS
2006
Springer
13 years 9 months ago
2006
Springer
In this paper, we introduce a sectorial episode of the form C r, where C is a set of events and r is an event. The sectorial episode C r means that every event of C is followed b...
APWEB
2006
Springer
13 years 9 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 ...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
KDD
2007
ACM
14 years 5 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...
ADBIS
2000
Springer
13 years 9 months 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...