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ACSAC
2007
IEEE
16 years 1 months ago
Improving Signature Testing through Dynamic Data Flow Analysis
The effectiveness and precision of network-based intrusion detection signatures can be evaluated either by direct analysis of the signatures (if they are available) or by using bl...
Christopher Kruegel, Davide Balzarotti, William K....
EUC
2005
Springer
16 years 10 days ago
Context-Aware Ubiquitous Data Mining Based Agent Model for Intersection Safety
In USA, 2002, approximately 3.2 million intersection-related crashes occurred, corresponding to 50 percent of all reported crashes. In Japan, more than 58 percent of all traffic cr...
Flora Dilys Salim, Shonali Krishnaswamy, Seng Wai ...
ICDCS
2012
IEEE
13 years 9 months ago
Scaling Down Off-the-Shelf Data Compression: Backwards-Compatible Fine-Grain Mixing
—Pu and Singaravelu presented Fine-Grain Mixing, an adaptive compression system which aimed to maximize CPU and network utilization simultaneously by splitting a network stream i...
Michael Gray, Peter Peterson, Peter L. Reiher
FUZZIEEE
2007
IEEE
16 years 1 months ago
Single Pass Fuzzy C Means
— Recently several algorithms for clustering large data sets or streaming data sets have been proposed. Most of them address the crisp case of clustering, which cannot be easily ...
Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof
NIPS
2001
15 years 8 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley