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A 2/sup d/-tree-based blocking method for microaggregating very large data sets

https://doi.org/10.1109/ares.2006.1
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s003579900019openalex-snapshot
Minimum Sum of Squares Clustering in a Low Dimensional Space
inferredcites →https://doi.org/10.1007/s00778-006-0007-0openalex-snapshot
Efficient multivariate data-oriented microaggregation
inferredcites →https://doi.org/10.1007/s10618-005-0007-5openalex-snapshot
Ordinal, Continuous and Heterogeneous k-Anonymity Through Microaggregation
inferredcites →https://doi.org/10.1016/j.camwa.2007.04.034openalex-snapshot
A polynomial-time approximation to optimal multivariate microaggregation
inferredcites →https://doi.org/10.1057/jors.1991.155openalex-snapshot
Introduction to Algorithms
inferredcites →https://doi.org/10.1080/01621459.1963.10500845openalex-snapshot
Hierarchical Grouping to Optimize an Objective Function
inferredcites →https://doi.org/10.1109/69.979982openalex-snapshot
Practical data-oriented microaggregation for statistical disclosure control
inferredcites →https://doi.org/10.1109/is.2006.348395openalex-snapshot
Multivariate Microaggregation Based Genetic Algorithms
inferredcites →https://doi.org/10.1109/tkde.2003.1209020openalex-snapshot
A polynomial algorithm for optimal univariate microaggregation
inferredcites →https://doi.org/10.1109/tkde.2005.112openalex-snapshot
Minimum spanning tree partitioning algorithm for microaggregation
inferredcites →https://doi.org/10.2307/2528096openalex-snapshot
A Method for Cluster Analysis
inferredcites →https://doi.org/10.2307/2529785openalex-snapshot
An Algorithm for Euclidean Sum of Squares Classification
inferredcites →https://doi.org/10.3233/sju-2001-18409openalex-snapshot
On the complexity of optimal microaggregation for statistical disclosure control

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/spe.992openalex-snapshot
A survey on statistical disclosure control and micro‐aggregation techniques for secure statistical databases
inferred← citeshttps://doi.org/10.1007/11780656_27openalex-snapshot
On Optimizing the k-Ward Micro-aggregation Technique for Secure Statistical Databases
inferred← citeshttps://doi.org/10.1007/11930242_11openalex-snapshot
A Fixed Structure Learning Automaton Micro-aggregation Technique for Secure Statistical Databases
inferred← citeshttps://doi.org/10.1007/978-3-319-24211-8_10openalex-snapshot
An Overview of the Use of Clustering for Data Privacy
inferred← citeshttps://doi.org/10.1007/s10207-012-0158-5openalex-snapshot
Efficient microaggregation techniques for large numerical data volumes
inferred← citeshttps://doi.org/10.1007/s10898-014-0149-3openalex-snapshot
Column generation bounds for numerical microaggregation
inferred← citeshttps://doi.org/10.1007/s12063-026-00590-3openalex-snapshot
Enhancing Supply Chain Resilience through Platform Boundary -Spanning Search: A Resource Orchestration Perspective
inferred← citeshttps://doi.org/10.1016/j.jss.2007.02.014openalex-snapshot
TFRP: An efficient microaggregation algorithm for statistical disclosure control
inferred← citeshttps://doi.org/10.1109/cns.2019.8802735openalex-snapshot
GPU Algorithms for K-Anonymity in Microdata
inferred← citeshttps://doi.org/10.1109/tsmcb.2009.2013723openalex-snapshot
Achieving Microaggregation for Secure Statistical Databases Using Fixed-Structure Partitioning-Based Learning Automata
inferred← citeshttps://doi.org/10.1145/1645953.1646333openalex-snapshot
Privacy and anonymization for very large datasets
inferred← citeshttps://doi.org/10.4304/jsw.8.1.160-167openalex-snapshot
SNS Privacy Protection based on the ELM Integration and Semi-supervised Clustering
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