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» Optimal randomization for privacy preserving data mining
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GIS
2008
ACM
14 years 8 months ago
Using tomography for ubiquitous sensing
By embedding sensors in mobile devices, it is possible to exploit the ubiquitous presence of these devices to construct applications for large-scale sensing and monitoring of envi...
Stacy Patterson, Bassam Bamieh, Amr El Abbadi
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 8 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
ICDE
2010
IEEE
260views Database» more  ICDE 2010»
14 years 7 months ago
Anonymizing Weighted Social Network Graphs
The increasing popularity of social networks has initiated a fertile research area in information extraction and data mining. Although such analysis can facilitate better understan...
Sudipto Das, Ömer Egecioglu, Amr El Abbadi
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
14 years 8 months ago
Experimental design for solicitation campaigns
Data mining techniques are routinely used by fundraisers to select those prospects from a large pool of candidates who are most likely to make a financial contribution. These tech...
Uwe F. Mayer, Armand Sarkissian
ICDM
2010
IEEE
216views Data Mining» more  ICDM 2010»
13 years 5 months ago
K-AP: Generating Specified K Clusters by Efficient Affinity Propagation
Abstract--The Affinity Propagation (AP) clustering algorithm proposed by Frey and Dueck (2007) provides an understandable, nearly optimal summary of a data set. However, it suffers...
Xiangliang Zhang, Wei Wang, Kjetil Nørv&ari...