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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
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...
SODA
2008
ACM
110views Algorithms» more  SODA 2008»
13 years 8 months ago
Why simple hash functions work: exploiting the entropy in a data stream
Hashing is fundamental to many algorithms and data structures widely used in practice. For theoretical analysis of hashing, there have been two main approaches. First, one can ass...
Michael Mitzenmacher, Salil P. Vadhan
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