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SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
15 years 4 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
ISCC
2008
IEEE
122views Communications» more  ISCC 2008»
15 years 9 months ago
A flexible network monitoring tool based on a data stream management system
Network monitoring is a complex task that generally requires the use of different tools for specific purposes. This paper describes a flexible network monitoring tool, called Pa...
Natascha Petry Ligocki, Carmem S. Hara, Christiano...
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
15 years 9 months ago
Adaptive Spike Detection for Resilient Data Stream Mining
Automated adversarial detection systems can fail when under attack by adversaries. As part of a resilient data stream mining system to reduce the possibility of such failure, adap...
Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee,...
IDA
2002
Springer
15 years 2 months ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last
ICDE
2011
IEEE
262views Database» more  ICDE 2011»
14 years 6 months ago
Memory-constrained aggregate computation over data streams
— In this paper, we study the problem of efficiently computing multiple aggregation queries over a data stream. In order to share computation, prior proposals have suggested ins...
K. V. M. Naidu, Rajeev Rastogi, Scott Satkin, Anan...