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» Performance Measurements for Privacy Preserving Data Mining
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KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 7 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 5 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
PRDC
1999
IEEE
15 years 9 months ago
Cost of Ensuring Safety in Distributed Database Management Systems
Generally, applications employing Database Management Systems (DBMS) require that the integrity of the data stored in the database be preserved during normal operation as well as ...
Maitrayi Sabaratnam, Svein-Olaf Hvasshovd, Ø...
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KDD
2009
ACM
216views Data Mining» more  KDD 2009»
16 years 5 months ago
Finding a team of experts in social networks
Given a task T , a pool of individuals X with different skills, and a social network G that captures the compatibility among these individuals, we study the problem of finding X ,...
Theodoros Lappas, Kun Liu, Evimaria Terzi
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 8 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...