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» Differential testing: a new approach to change detection
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IJON
2006
82views more  IJON 2006»
14 years 11 months ago
Modeling single neuron behavior using stochastic differential equations
We model the intrinsic dynamic behavior of a neuron using stochastic differential equations and Brownian motion. Basis of our work is the deterministic one-compartmental multi-con...
Antti Saarinen, Marja-Leena Linne, Olli Yli-Harja
CIKM
2009
Springer
15 years 3 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
RAID
2004
Springer
15 years 5 months ago
Seurat: A Pointillist Approach to Anomaly Detection
Abstract. This paper proposes a new approach to detecting aggregated anomalous events by correlating host file system changes across space and time. Our approach is based on a key...
Yinglian Xie, Hyang-Ah Kim, David R. O'Hallaron, M...
IWIA
2003
IEEE
15 years 5 months ago
Intrusion Detection Testing and Benchmarking Methodologies
— The ad-hoc methodology that is prevalent in today’s testing and evaluation of network intrusion detection algorithms and systems makes it difficult to compare different algor...
Nicholas Athanasiades, Randal Abler, John G. Levin...
JASIS
2010
262views more  JASIS 2010»
14 years 10 months ago
New event detection and topic tracking in Turkish
Topic detection and tracking (TDT) applications aim to organize the temporally ordered stories of a news stream according to the events. Two major problems in TDT are new event de...
Fazli Can, Seyit Kocberber, Ozgur Baglioglu, Suley...