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» An efficient clustering method for k-anonymization
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ICML
2009
IEEE
14 years 9 months ago
Discriminative k-metrics
The k q-flats algorithm is a generalization of the popular k-means algorithm where q dimensional best fit affine sets replace centroids as the cluster prototypes. In this work, a ...
Arthur Szlam, Guillermo Sapiro
WWW
2004
ACM
14 years 9 months ago
Distributed community crawling
The massive distribution of the crawling task can lead to inefficient exploration of the same portion of the Web. We propose a technique to guide crawlers exploration based on the...
Fabrizio Costa, Paolo Frasconi
VLDB
2008
ACM
147views Database» more  VLDB 2008»
14 years 8 months ago
Providing k-anonymity in data mining
In this paper we present extended definitions of k-anonymity and use them to prove that a given data mining model does not violate the k-anonymity of the individuals represented in...
Arik Friedman, Ran Wolff, Assaf Schuster
ASPDAC
2008
ACM
89views Hardware» more  ASPDAC 2008»
13 years 10 months ago
Load scheduling: Reducing pressure on distributed register files for free
In this paper we describe load scheduling, a novel method that balances load among register files by residual resources. Load scheduling can reduce register pressure for clustered...
Mei Wen, Nan Wu, Maolin Guan, Chunyuan Zhang
NIPS
2004
13 years 10 months ago
Triangle Fixing Algorithms for the Metric Nearness Problem
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp