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» Mining Frequent Diamond Episodes from Event Sequences
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AINA
2008
IEEE
15 years 3 months ago
Exploiting Frequent Episodes in Weighted Suffix Tree to Improve Intrusion Detection System
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,...
Min-Feng Wang, Yen-Ching Wu, Meng-Feng Tsai
IJDMMM
2008
72views more  IJDMMM 2008»
14 years 9 months ago
Mining event histories: a social science perspective
We explore how recent data-mining-based tools developed in domains such as biomedicine or text-mining for extracting interesting knowledge from sequence data could be applied to pe...
Gilbert Ritschard, Alexis Gabadinho, Nicolas S. M&...
CORR
2010
Springer
186views Education» more  CORR 2010»
14 years 9 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
93
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GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
15 years 1 months ago
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
Steffen Kempe, Jochen Hipp, Rudolf Kruse
DASFAA
2008
IEEE
137views Database» more  DASFAA 2008»
14 years 11 months ago
Efficient Mining of Recurrent Rules from a Sequence Database
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...
David Lo, Siau-Cheng Khoo, Chao Liu 0001