54 search results - page 4 / 11 » Discovering Frequent Episodes in Sequences of Complex Events |
ICDM
2009
IEEE
15 years 4 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...
AINA
2008
IEEE
15 years 3 months ago
2008
IEEE
In this paper we proposed a weighted suffix tree and find out it can improve the Intrusion Detection System (IDS). We firstly focus on the analysis of computer kernel system call,...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
There is a considerable body of work on sequence mining of Web Log Data We are using One Pass frequent Episode discovery (or FED) algorithm, takes a different approach than the tr...
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ECAI
2004
Springer
15 years 2 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...
ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
In this paper we study a new problem in temporal pattern mining: discovering frequent arrangements of temporal intervals. We assume that the database consists of sequences of even...