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» Distance Functions to Detect Changes in Data Streams
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WWW
2009
ACM
14 years 2 months ago
A general framework for adaptive and online detection of web attacks
Detection of web attacks is an important issue in current defense-in-depth security framework. In this paper, we propose a novel general framework for adaptive and online detectio...
Wei Wang 0012, Florent Masseglia, Thomas Guyet, Re...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 7 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
BMCBI
2006
102views more  BMCBI 2006»
13 years 7 months ago
UVPAR: fast detection of functional shifts in duplicate genes
Background: The imprint of natural selection on gene sequences is often difficult to detect. A plethora of methods have been devised to detect genetic changes due to selective pro...
Vicente Arnau, Miguel Gallach, J. Ignasi Lucas, Ig...
DAGM
2006
Springer
13 years 11 months ago
Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels
Kernel functions as similarity measures for sequential data have been extensively studied in previous research. This contribution addresses the efficient computation of distance fu...
Konrad Rieck, Pavel Laskov, Klaus-Robert Müll...
VTC
2007
IEEE
112views Communications» more  VTC 2007»
14 years 1 months ago
"The Medium is The Message": Secure Communication via Waveform Coding in MIMO Systems
— In this paper, we look at multiple antenna systems and code information on the communication medium itself to improve the link security. In the case of single data stream trans...
Xin Zhou, Persefoni Kyritsi, Patrick C. F. Eggers,...