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» Taming the Dynamics of Distributed Data
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ICDCS
2005
IEEE
14 years 3 months ago
Resource-Aware Distributed Stream Management Using Dynamic Overlays
We consider distributed applications that continuously stream data across the network, where data needs to be aggregated and processed to produce a 'useful' stream of up...
Vibhore Kumar, Brian F. Cooper, Zhongtang Cai, Gre...
ICDM
2003
IEEE
140views Data Mining» more  ICDM 2003»
14 years 3 months ago
Mining Frequent Itemsets in Distributed and Dynamic Databases
Traditional methods for frequent itemset mining typically assume that data is centralized and static. Such methods impose excessive communication overhead when data is distributed...
Matthew Eric Otey, Chao Wang, Srinivasan Parthasar...
DBISP2P
2003
Springer
152views Database» more  DBISP2P 2003»
14 years 3 months ago
An Adaptive and Scalable Middleware for Distributed Indexing of Data Streams
Abstract. We are witnessing a dramatic increase in the use of datacentric distributed systems such as global grid infrastructures, sensor networks, network monitoring, and various ...
Ahmet Bulut, Roman Vitenberg, Fatih Emekçi,...
ICDE
2009
IEEE
164views Database» more  ICDE 2009»
14 years 11 months ago
Efficient and Robust Database Support for Data-Intensive Applications in Dynamic Environments
Requirements from new types of applications call for new database system solutions. Computational science applications performing distributed computations on Grid networks with req...
Jon Olav Hauglid, Kjetil Nørvåg, Norv...
HIPC
2003
Springer
14 years 3 months ago
Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
Adriano Veloso, Matthew Eric Otey, Srinivasan Part...