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ICDM
2003
IEEE
112views Data Mining» more  ICDM 2003»
16 years 4 hour ago
Privacy-preserving Distributed Clustering using Generative Models
We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...
Srujana Merugu, Joydeep Ghosh
KDD
1998
ACM
106views Data Mining» more  KDD 1998»
15 years 11 months ago
Analysing Rock Samples for the Mars Lander
In the near future NASAintends to explore various regions of our solar systemusing robotic devices such as rovers, spacecraft, airplanes, and/or balloons. Such platforms will carr...
Jonathan J. Oliver, Ted Roush, Paul Gazis, Wray L....
ICAI
2004
15 years 8 months ago
A Comparison of Resampling Methods for Clustering Ensembles
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
KDD
2005
ACM
168views Data Mining» more  KDD 2005»
16 years 7 months ago
Nomograms for visualizing support vector machines
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...
KDD
2002
ACM
149views Data Mining» more  KDD 2002»
16 years 7 months ago
A system for real-time competitive market intelligence
A method is described for real-time market intelligence and competitive analysis. News stories are collected online for a designated group of companies. The goal is to detect crit...
Sholom M. Weiss, Naval K. Verma