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» Detecting Change in Data Streams
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ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
14 years 28 days ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
SIGCOMM
2006
ACM
14 years 3 months ago
Detecting evasion attacks at high speeds without reassembly
Ptacek and Newsham [14] showed how to evade signature detection at Intrusion Prevention Systems (IPS) using TCP and IP Fragmentation. These attacks are implemented in tools like F...
George Varghese, J. Andrew Fingerhut, Flavio Bonom...
KBSE
2006
IEEE
14 years 3 months ago
Detecting Precedence-Related Advice Interference
Aspect-Oriented Programming (AOP) has been proposed in literature to overcome modularization shortcomings such as the tyranny of the dominant decomposition. However, the new langu...
Maximilian Storzer, Florian Forster
EH
2005
IEEE
171views Hardware» more  EH 2005»
14 years 2 months ago
Implementation Results for a Fault-Tolerant Multicellular Architecture Inspired by Endocrine Communication
The hybrid redundancy structure found at the cellular level of higher animals provides complex organism with the three key features of a reliability-engineered system: fault toler...
Andrew J. Greensted, Andy M. Tyrrell
EDBT
2009
ACM
186views Database» more  EDBT 2009»
14 years 4 months ago
Automating the loading of business process data warehouses
Business processes drive the operations of an enterprise. In the past, the focus was primarily on business process design, modeling, and automation. Recently, enterprises have rea...
Malú Castellanos, Alkis Simitsis, Kevin Wil...