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» Optimizing Monitoring Queries over Distributed Data
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KDD
2006
ACM
150views Data Mining» more  KDD 2006»
16 years 6 months ago
Maximally informative k-itemsets and their efficient discovery
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Arno J. Knobbe, Eric K. Y. Ho
SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
15 years 7 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
EPIA
2003
Springer
15 years 11 months ago
Adaptation to Drifting Concepts
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
Gladys Castillo, João Gama, Pedro Medas
PPOPP
2005
ACM
15 years 12 months ago
Teleport messaging for distributed stream programs
In this paper, we develop a new language construct to address one of the pitfalls of parallel programming: precise handling of events across parallel components. The construct, te...
William Thies, Michal Karczmarek, Janis Sermulins,...
ICPP
1993
IEEE
15 years 10 months ago
Closed Form Solutions for Bus and Tree Networks of Processors Load Sharing A Divisible Job
Optimal load allocation for load sharing a divisible job over processors interconnected in either a bus or a tree network is considered. The processors are either equipped with fro...
Sameer M. Bataineh, Te-Yu Hsiung, Thomas G. Robert...