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WINEPI
In data mining, the WINEPI algorithm is an influential algorithm for episode mining, which helps discover the knowledge hidden in an event sequence…
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Data mining
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2014
2014
The application research of electronic evidence system based on analysis of user correlative behavior
Juan Luo
,
W. Xu
IEEE Workshop on Advanced Research and Technology…
2014
Corpus ID: 22978101
Nowadays, we put forward a kind of electronic forensics system based on user behavior correlation analysis in view of the present…
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2011
2011
EVALUACIÓN EPIDEMIOLÓGICA DE PROCESOS RESPIRATORIOS BACTERIANOS EN GALLINAS PONEDORAS
M. Chavez
,
M. C. Lamazares
,
+5 authors
E. G. Álvarez
2011
Corpus ID: 162673423
Con el objetivo de evaluar la situacion epidemiologica de los procesos respiratorios en gallinas ponedoras, se realizo un estudio…
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2011
2011
EVALUACIÓN EPIDEMIOLÓGICA DE PROCESOS RESPIRATORIOS BACTERIANOS EN REEMPLAZOS DE PONEDORAS
M. Chavez
,
M. C. Lamazares
,
+5 authors
E. G. Álvarez
2011
Corpus ID: 85437621
With the objective of evaluating the epidemic situation of the breathing processes of bacterial in of replacement of egg-laying…
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2010
2010
Exploratory Analysis of an Annotated Text Corpus using episode rules
Aleksandr Tkatsenko
,
Roman Tekhov
2010
Corpus ID: 33314167
2010
2010
A privacy-preserving alert correlation model
Jin Ma
,
Xiuzhen Chen
,
Jian-hua Li
IEEE International Conference on Progress in…
2010
Corpus ID: 12271958
Data holders need to share the alerts data that they detected for correlation and analysis purpose. In such cases, privacy issues…
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2009
2009
DISCOVERING N-ARY TIMED RELATIONS FROM SEQUENCES-A POSITION PAPER
Nabil Benayadi
,
M. L. Goc
2009
Corpus ID: 18328058
The goal of this position paper is to show the problems with most known timed data mining techniques for discovering temporal…
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2006
2006
Application of WINEPI Mining Algorithm in IDS
Luo Jun-sheng
2006
Corpus ID: 63529492
According to the characteristics of IDS,the sequence pattern data mining algorithm is applied to IDS in this paper.The algorithm…
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2006
2006
An Incremental and Hash-based Algorithm for Mining Frequent Episodes
Yunlan Wang
,
Zhengxiong Hou
,
Xingshe Zhou
International Conference on Computational…
2006
Corpus ID: 18863152
Episodes rules can describe and predict the behavior of the event sequences. The property of incremental frequent episodes mining…
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2006
2006
A Database-Reduction-Based Algorithm for Episode Mining
Yunlan Wang
,
Xingshe Zhou
,
Peiqi Liu
International Conference on Parallel and…
2006
Corpus ID: 14443124
Event sequence arises naturally in many applications. Episode mining can discovery the knowledge hidden in the event sequence…
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2004
2004
Forecast of intrusion behavior based on interactive knowledge discovery
Xiu-Zhen Chen
,
Qingmin Zheng
,
X. Guan
,
Chen-Guang Lin
Proceedings of International Conference on…
2004
Corpus ID: 19243198
Forecasting intending intrusion according to intrusion preludes is vital in computer security. One novel intrusion behavior…
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