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» An Iterative Method for Distributed Database Design
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PPOPP
2010
ACM
14 years 6 months ago
A distributed placement service for graph-structured and tree-structured data
Effective data placement strategies can enhance the performance of data-intensive applications implemented on high end computing clusters. Such strategies can have a significant i...
Gregory Buehrer, Srinivasan Parthasarathy, Shirish...
TDP
2010
166views more  TDP 2010»
13 years 3 months ago
Communication-Efficient Privacy-Preserving Clustering
The ability to store vast quantities of data and the emergence of high speed networking have led to intense interest in distributed data mining. However, privacy concerns, as well ...
Geetha Jagannathan, Krishnan Pillaipakkamnatt, Reb...
ADC
1999
Springer
97views Database» more  ADC 1999»
14 years 1 months ago
Pseudo-Naive Evaluation
We introduce pseudo-naive evaluation, a method for execution of mixed top-down/bottom-up logic programs and deductive databases. The method is intermediate in power between naive ...
Donald A. Smith, Mark Utting
MIR
2005
ACM
133views Multimedia» more  MIR 2005»
14 years 2 months ago
Probabilistic web image gathering
We propose a new method for automated large scale gathering of Web images relevant to specified concepts. Our main goal is to build a knowledge base associated with as many conce...
Keiji Yanai, Kobus Barnard
KDD
2012
ACM
194views Data Mining» more  KDD 2012»
11 years 11 months ago
A sparsity-inducing formulation for evolutionary co-clustering
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
Shuiwang Ji, Wenlu Zhang, Jun Liu