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TDP
2008
96views more  TDP 2008»
13 years 4 months ago
Constrained Microaggregation: Adding Constraints for Data Editing
Privacy preserving data mining and statistical disclosure control have introduced several methods for data perturbation that can be used for ensuring the privacy of data respondent...
Vicenç Torra
SDM
2011
SIAM
243views Data Mining» more  SDM 2011»
12 years 7 months ago
Data Integration via Constrained Clustering: An Application to Enzyme Clustering
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
Elisa Boari de Lima, Raquel Cardoso de Melo Minard...
INFOCOM
2002
IEEE
13 years 9 months ago
QoS and Fairness Constrained Convex Optimization of Resource Allocation for Wireless Cellular and Ad Hoc Networks
— For wireless cellular and ad hoc networks with QoS constraints, we propose a suite of problem formulations that allocate network resources to optimize SIR, maximize throughput ...
David Julian, Mung Chiang, Daniel O'Neill, Stephen...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 5 months ago
Efficient incremental constrained clustering
Clustering with constraints is an emerging area of data mining research. However, most work assumes that the constraints are given as one large batch. In this paper we explore the...
Ian Davidson, S. S. Ravi, Martin Ester
SDM
2008
SIAM
123views Data Mining» more  SDM 2008»
13 years 6 months ago
Constrained Co-clustering of Gene Expression Data
In many applications, the expert interpretation of coclustering is easier than for mono-dimensional clustering. Co-clustering aims at computing a bi-partition that is a collection...
Ruggero G. Pensa, Jean-François Boulicaut