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» Detecting Inconsistencies in Distributed Data
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SEC
2007
13 years 10 months ago
A Survey of Bots Used for Distributed Denial of Service Attacks
Abstract. In recent years, we have seen the arrival of Distributed Denial-ofService (DDoS) open-source bot-based attack tools facilitating easy code enhancement, and so resulting i...
Vrizlynn L. L. Thing, Morris Sloman, Naranker Dula...
FIMH
2009
Springer
14 years 3 months ago
Extraction of Coronary Vascular Tree and Myocardial Perfusion Data from Stacks of Cryomicrotome Images
Computational models of myocardial perfusion in normal as well as pathological conditions have contributed to recent advances in the personalized diagnosis and treatment of cardiov...
Pepijn van Horssen, Jeroen P. H. M. van den Wijnga...
ML
2010
ACM
142views Machine Learning» more  ML 2010»
13 years 7 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
AI
2006
Springer
14 years 21 days ago
Adaptive Fraud Detection Using Benford's Law
Abstract. Adaptive Benford's Law [1] is a digital analysis technique that specifies the probabilistic distribution of digits for many commonly occurring phenomena, even for in...
Fletcher Lu, J. Efrim Boritz, H. Dominic Covvey
FLAIRS
2003
13 years 10 months ago
Bayesian Classification of Triage Diagnoses for the Early Detection of Epidemics
The distribution of illnesses reported by emergency departments from hospitals in a region under surveillance is particularly informative for the early detection of epidemics. The...
Robert T. Olszewski