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» Efficient Learning of Semi-structured Data from Queries
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122
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ALGORITHMICA
2004
132views more  ALGORITHMICA 2004»
15 years 3 months ago
A General Model for Authenticated Data Structures
Query answers from on-line databases can easily be corrupted by hackers or malicious database publishers. Thus it is important to provide mechanisms which allow clients to trust th...
Charles U. Martel, Glen Nuckolls, Premkumar T. Dev...
ICDE
2005
IEEE
173views Database» more  ICDE 2005»
16 years 4 months ago
Stabbing the Sky: Efficient Skyline Computation over Sliding Windows
We consider the problem of efficiently computing the skyline against the most recent N elements in a data stream seen so far. Specifically, we study the n-of-N skyline queries; th...
Xuemin Lin, Yidong Yuan, Wei Wang 0011, Hongjun Lu
142
Voted
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 4 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
112
Voted
DCC
2007
IEEE
16 years 3 months ago
Nonuniform Compression in Databases with Haar Wavelet
Data synopsis is a lossy compressed representation of data stored into databases that helps the query optimizer to speed up the query process, e.g. time to retrieve the data from ...
S. Chen, A. Nucci
139
Voted
KBSE
2000
IEEE
15 years 7 months ago
Practical Large Scale What-If Queries: Case Studies with Software Risk Assessment
When a lack of data inhibits decision making, large scale what-if queries can be conducted over the uncertain parameter ranges. Such what-if queries can generate an overwhelming a...
Tim Menzies, Erik Sinsel