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KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 4 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
MSWIM
2005
ACM
15 years 9 months ago
Adaptive transmission opportunity with admission control for IEEE 802.11e networks
The increase of IEEE 802.11’s bandwidth led to a deployment of many multimedia applications over wireless networks. Nevertheless, these applications impose stringent constraints...
Adlen Ksentini, Abdelhak Guéroui, Mohamed N...
BMCBI
2008
105views more  BMCBI 2008»
15 years 4 months ago
Using the longest significance run to estimate region-specific p-values in genetic association mapping studies
Background: Association testing is a powerful tool for identifying disease susceptibility genes underlying complex diseases. Technological advances have yielded a dramatic increas...
Ie-Bin Lian, Yi-Hsien Lin, Ying-Chao Lin, Hsin-Cho...
STAIRS
2008
169views Education» more  STAIRS 2008»
15 years 5 months ago
Probabilistic Association Rules for Item-Based Recommender Systems
Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
Sylvain Castagnos, Armelle Brun, Anne Boyer
MOBIHOC
2008
ACM
16 years 3 months ago
Energy efficient multi-path communication for time-critical applications in underwater sensor networks
Due to the long propagation delay and high error rate of acoustic channels, it is very challenging to provide reliable data transfer for time-critical applications in an energy-ef...
Zhong Zhou, Jun-Hong Cui