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FTDB
2011
98views more  FTDB 2011»
14 years 1 months ago
Secure Distributed Data Aggregation
We present a survey of the various families of approaches to secure aggregation in distributed networks such as sensor networks. In our survey, we focus on the important algorithm...
Haowen Chan, Hsu-Chun Hsiao, Adrian Perrig, Dawn S...
DIS
2004
Springer
15 years 3 months ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo
ICAS
2009
IEEE
147views Robotics» more  ICAS 2009»
15 years 4 months ago
Fast Estimation of Aggregates in Unstructured Networks
Aggregation of data values plays an important role on distributed computations, in particular over peer-to-peer and sensor networks, as it can provide a summary of some global sys...
Carlos Baquero, Paulo Sérgio Almeida, Raque...
67
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PR
2007
81views more  PR 2007»
14 years 9 months ago
Mining evolving data streams for frequent patterns
A data stream is a potentially uninterrupted flow of data. Mining this flow makes it necessary to cope with uncertainty, as only a part of the stream can be stored. In this pape...
Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...
ICDCS
2008
IEEE
15 years 4 months ago
Resource Bundles: Using Aggregation for Statistical Wide-Area Resource Discovery and Allocation
Resource discovery is an important process for finding suitable nodes that satisfy application requirements in large loosely-coupled distributed systems. Besides inter-node heter...
Michael Cardosa, Abhishek Chandra