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» Efficient Aggregate Computation over Data Streams
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SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 9 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny
SIGMOD
2005
ACM
143views Database» more  SIGMOD 2005»
14 years 7 months ago
Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles
While traditional database systems optimize for performance on one-shot queries, emerging large-scale monitoring applications require continuous tracking of complex aggregates and...
Graham Cormode, Minos N. Garofalakis, S. Muthukris...
ICDE
2009
IEEE
202views Database» more  ICDE 2009»
14 years 9 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
ICDE
2006
IEEE
124views Database» more  ICDE 2006»
14 years 9 months ago
C-Cubing: Efficient Computation of Closed Cubes by Aggregation-Based Checking
It is well recognized that data cubing often produces huge outputs. Two popular efforts devoted to this problem are (1) iceberg cube, where only significant cells are kept, and (2...
Dong Xin, Zheng Shao, Jiawei Han, Hongyan Liu
EDBT
2006
ACM
194views Database» more  EDBT 2006»
14 years 7 months ago
On Concurrency Control in Sliding Window Queries over Data Streams
Abstract. Data stream systems execute a dynamic workload of longrunning and one-time queries, with the streaming inputs typically bounded by sliding windows. For efficiency, window...
Lukasz Golab, Kumar Gaurav Bijay, M. Tamer Öz...