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» Finding global icebergs over distributed data sets
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SDM
2008
SIAM
97views Data Mining» more  SDM 2008»
13 years 9 months ago
Efficient Distribution Mining and Classification
We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...
IS
2007
13 years 7 months ago
Browsing large online data tables using generalized query previews
Companies, government agencies, and other organizations are making their data available to the world over the Internet. They often use large online relational tables for this purp...
Egemen Tanin, Ben Shneiderman, Hairuo Xie
PR
2006
108views more  PR 2006»
13 years 7 months ago
Boosted discriminant projections for nearest neighbor classification
In this paper we introduce a new embedding technique to find the linear projection that best projects labeled data samples into a new space where the performance of a Nearest Neig...
David Masip, Jordi Vitrià
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
14 years 7 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
ICAS
2009
IEEE
147views Robotics» more  ICAS 2009»
14 years 2 months ago
Fast Estimation of Aggregates in Unstructured Networks
Aggregation of data values plays an important role on distributed computations, in particular over peer-to-peer and sensor networks, as it can provide a summary of some global sys...
Carlos Baquero, Paulo Sérgio Almeida, Raque...