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DKE
2008
79views more  DKE 2008»
13 years 8 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
MST
2000
86views more  MST 2000»
13 years 8 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
13 years 3 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,...
SIGMOD
2011
ACM
283views Database» more  SIGMOD 2011»
12 years 11 months 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...
IVS
2008
121views more  IVS 2008»
13 years 8 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