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PODS
2005
ACM
124views Database» more  PODS 2005»
16 years 6 months ago
Diagnosis of asynchronous discrete event systems: datalog to the rescue!
We consider query optimization techniques for data intensive P2P applications. We show how to adapt an old technique from deductive databases, namely Query-Sub-Query (QSQ), to a s...
Serge Abiteboul, Stefan Haar, Tova Milo, Zoë ...
ICDE
2009
IEEE
119views Database» more  ICDE 2009»
16 years 1 months ago
Deductive Framework for Programming Sensor Networks
—Developing powerful paradigms for programming sensor networks is critical to realize the full potential of sensor networks as collaborative data processing engines. In this arti...
Himanshu Gupta, Xianjin Zhu, Xiang Xu
CIKM
2009
Springer
16 years 1 months ago
Mining frequent itemsets in time-varying data streams
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
Yingying Tao, M. Tamer Özsu
KDD
1995
ACM
148views Data Mining» more  KDD 1995»
15 years 10 months ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
BDA
2007
15 years 8 months ago
PeerSum: Summary Management in P2P Systems
Sharing huge, massively distributed databases in P2P systems is inherently difficult. As the amount of stored data increases, data localization techniques become no longer suffi...
Rabab Hayek, Guillaume Raschia, Patrick Valduriez,...