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» Mining Sectorial Episodes from Event Sequences
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ACSW
2006
13 years 9 months ago
Event sequence mining to develop profiles for computer forensic investigation purposes
Developing profiles to describe user or system behaviour is a useful technique employed in Computer Forensic investigations. Information found in data obtained by investigators ca...
Tamas Abraham
SAC
2011
ACM
12 years 10 months ago
RuleGrowth: mining sequential rules common to several sequences by pattern-growth
Mining sequential rules from large databases is an important topic in data mining fields with wide applications. Most of the relevant studies focused on finding sequential rules a...
Philippe Fournier-Viger, Roger Nkambou, Vincent Sh...
CORR
2010
Springer
186views Education» more  CORR 2010»
13 years 7 months ago
Significant Interval and Frequent Pattern Discovery in Web Log Data
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...
Kanak Saxena, Rahul Shukla
PAKDD
2010
ACM
152views Data Mining» more  PAKDD 2010»
14 years 16 days ago
Mining Association Rules in Long Sequences
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
Boris Cule, Bart Goethals
FUIN
2008
136views more  FUIN 2008»
13 years 7 months ago
Multi-Dimensional Relational Sequence Mining
The issue addressed in this paper concerns the discovery of frequent multi-dimensional patterns from relational sequences. The great variety of applications of sequential pattern m...
Floriana Esposito, Nicola Di Mauro, Teresa Maria A...