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» Data Criticality in Network-On-Chip Design
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KAIS
2008
150views more  KAIS 2008»
15 years 15 days ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
125
Voted
WMCSA
2008
IEEE
15 years 7 months ago
HealthSense: classification of health-related sensor data through user-assisted machine learning
Remote patient monitoring generates much more data than healthcare professionals are able to manually interpret. Automated detection of events of interest is therefore critical so...
Erich P. Stuntebeck, John S. Davis II, Gregory D. ...
ASPLOS
2008
ACM
15 years 2 months ago
Understanding and visualizing full systems with data flow tomography
It is not uncommon for modern systems to be composed of a variety of interacting services, running across multiple machines in such a way that most developers do not really unders...
Shashidhar Mysore, Bita Mazloom, Banit Agrawal, Ti...
99
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DIMVA
2008
15 years 1 months ago
Data Space Randomization
Over the past several years, US-CERT advisories, as well as most critical updates from software vendors, have been due to memory corruption vulnerabilities such as buffer overflo...
Sandeep Bhatkar, R. Sekar
107
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BMCBI
2006
138views more  BMCBI 2006»
15 years 18 days ago
Determination of strongly overlapping signaling activity from microarray data
Background: As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of...
Ghislain Bidaut, Karsten Suhre, Jean-Michel Claver...