Privacy-Preserving Data Mining: A Game-Theoretic Approach
- DOI
- 10.1007/978-3-642-22348-8_15
- Published
- 2011
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-642-22348-8_15,
title = {Privacy-Preserving Data Mining: A Game-Theoretic Approach},
author = {Atsuko Miyaji and Mohammad Shahriar Rahman},
year = {2011},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-642-22348-8_15},
url = {https://doi.org/10.1007/978-3-642-22348-8_15}
}RIS
TY - JOUR TI - Privacy-Preserving Data Mining: A Game-Theoretic Approach AU - Atsuko Miyaji AU - Mohammad Shahriar Rahman PY - 2011 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-642-22348-8_15 UR - https://doi.org/10.1007/978-3-642-22348-8_15 ER -
APA
Miyaji, A., & Rahman, M. S. (2011). Privacy-Preserving Data Mining: A Game-Theoretic Approach. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-22348-8_15
Source records
- crossref · retrieved 2026-09-25T11:26:19.072Z