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» Mining Frequent Diamond Episodes from Event Sequences
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AINA
2008
IEEE
14 years 2 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»
13 years 7 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»
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
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
13 years 11 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»
13 years 9 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