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DKE
2008
79views more  DKE 2008»
14 years 9 months ago
Extracting k most important groups from data efficiently
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis
80
Voted
MST
2000
86views more  MST 2000»
14 years 9 months ago
Team Learning of Computable Languages
A team of learning machines is a multiset of learning machines. A team is said to successfully learn a concept just in case each member of some nonempty subset, of predetermined s...
Sanjay Jain, Arun Sharma
TWC
2010
14 years 4 months ago
Efficient Spectrum Leasing via Randomized Silencing of Secondary Users
In this paper, a primary (licensed) user leases part of its resources to independent secondary (unlicensed) terminals in exchange for a tariff in dollars per bit, under the constra...
Rocco Di Taranto, Petar Popovski, Osvaldo Simeone,...
102
Voted
SIGMOD
2011
ACM
283views Database» more  SIGMOD 2011»
14 years 10 days ago
iReduct: differential privacy with reduced relative errors
Prior work in differential privacy has produced techniques for answering aggregate queries over sensitive data in a privacypreserving way. These techniques achieve privacy by addi...
Xiaokui Xiao, Gabriel Bender, Michael Hay, Johanne...
95
Voted
IVS
2008
121views more  IVS 2008»
14 years 9 months ago
Using treemaps for variable selection in spatio-temporal visualisation
We demonstrate and reflect upon the use of enhanced treemaps that incorporate spatial and temporal ordering for exploring a large multivariate spatio-temporal data set. The result...
Aidan Slingsby, Jason Dykes, Jo Wood