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» Building predictors from vertically distributed data
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239
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VLDB
2006
ACM
122views Database» more  VLDB 2006»
15 years 9 months ago
A secure distributed framework for achieving k-anonymity
k-anonymity provides a measure of privacy protection by preventing re-identification of data to fewer than a group of k data items. While algorithms exist for producing k-anonymous...
Wei Jiang, Chris Clifton
109
Voted
TSP
2010
14 years 4 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
68
Voted
DAIS
2003
14 years 10 months ago
DataWarp: Building Applications Which Make Progress in an Inconsistent World
Some of the data available to today’s enterprise applications is inconsistent. This is an inevitable consequence of data being distributed and partially replicated in many locati...
Peter Henderson, Robert John Walters, Stephen Crou...
DASFAA
1999
IEEE
79views Database» more  DASFAA 1999»
15 years 1 months ago
Summary Grids: Building Accurate Multidimensional Histograms
Data summarization is very important for many data analysis tasks. In this paper we propose a simple but efficient data summarization algorithm, which outputs a histogram for mult...
Pedro Furtado, Henrique Madeira
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 1 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...