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» Combined Data Mining Approach for Intrusion Detection
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ECMDAFA
2009
Springer
138views Hardware» more  ECMDAFA 2009»
14 years 3 months ago
A Pattern Mining Approach Using QVT
Model Driven Software Development (MDSD) has matured over the last few years and is now becoming an established technology. Models are used in various contexts, where the possibili...
Jens Kübler, Thomas Goldschmidt
IWPC
2009
IEEE
14 years 3 months ago
Standing on the shoulders of giants - A data fusion approach to design pattern detection
Identification of design patterns can deliver important information to designers. Therefore, automated design pattern detection (DPD) is highly desirable when it comes to underst...
Günter Kniesel, Alexander Binun
NPL
2006
113views more  NPL 2006»
13 years 8 months ago
A Back-propagation Neural Network Landmine Detector Using the Delta-technique and S-statistic
Landmines are a major problem facing the world today; there are millions of these deadly weapons still buried in various countries around the world. Humanitarian organizations dedi...
Taskin Koçak, Matthew Draper
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
14 years 29 days ago
Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data
Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...
Evan W. Steeg, Derek A. Robinson, Ed Willis
WOSS
2004
ACM
14 years 2 months ago
Combining statistical monitoring and predictable recovery for self-management
Complex distributed Internet services form the basis not only of e-commerce but increasingly of mission-critical networkbased applications. What is new is that the workload and in...
Armando Fox, Emre Kiciman, David A. Patterson