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APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
13 years 9 months ago
Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Richard Matthew McCutchen, Samir Khuller
ICDE
2008
IEEE
163views Database» more  ICDE 2008»
14 years 8 months ago
XStream: a Signal-Oriented Data Stream Management System
Sensors capable of sensing phenomena at high data rates on the order of tens to hundreds of thousands of samples per second are now widely deployed in many industrial, civil engine...
Lewis Girod, Yuan Mei, Ryan Newton, Stanislav Rost...
ICAD
2004
13 years 8 months ago
Listening to the Mind Listening
The following explains what mappings have been chosen for a sonification of several data channels from set containing a recording of the neural activity of a person listening to a...
Hans Van Raaij
SIGMETRICS
2012
ACM
257views Hardware» more  SIGMETRICS 2012»
11 years 9 months ago
Fair sampling across network flow measurements
Sampling is crucial for controlling resource consumption by internet traffic flow measurements. Routers use Packet Sampled NetFlow [9], and completed flow records are sampled in...
Nick G. Duffield
IJCAI
1989
13 years 8 months ago
Input Data Management in Real-Time AI Systems
A real-time AI system in the real world needs to monitor an immense volume of data. To do this, the system must filter out much of the incoming data. However, it must remain re­ ...
Richard Washington, Barbara Hayes-Roth