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» Structure-aware sampling on data streams
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SIGMOD
2004
ACM
92views Database» more  SIGMOD 2004»
14 years 7 months ago
Online Maintenance of Very Large Random Samples
Random sampling is one of the most fundamental data management tools available. However, most current research involving sampling considers the problem of how to use a sample, and...
Chris Jermaine, Abhijit Pol, Subramanian Arumugam
JMM2
2008
80views more  JMM2 2008»
13 years 7 months ago
Reliable Transmission of Audio Streams in Lossy Channels Using Application Level Data Hiding
The paper improves the reliability of audio streams in a lossy channel. The mechanism groups audio data samples into source and carrier sets. The carrier set carry the information ...
Parag Agarwal, Balakrishnan Prabhakaran
ISCC
2007
IEEE
115views Communications» more  ISCC 2007»
14 years 1 months ago
On The Use Data Reduction Algorithms for Real-Time Wireless Sensor Networks
This work presents the design of real-time applications for wireless sensor networks (WSNs) by using an algorithm based on data stream to process the sensor data. The proposed alg...
André L. L. de Aquino, Carlos Mauricio S. F...
SSDBM
2006
IEEE
139views Database» more  SSDBM 2006»
14 years 1 months ago
Sampling Trajectory Streams with Spatiotemporal Criteria
Monitoring movement of high-dimensional points is essential for environmental databases, geospatial applications, and biodiversity informatics as it reveals crucial information ab...
Michalis Potamias, Kostas Patroumpas, Timos K. Sel...
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
14 years 8 months ago
LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...
Charu C. Aggarwal, Philip S. Yu