The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Random-data perturbation techniques and privacy-preserving data mining
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Citations
Cites
Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
Privacy Preserving Data Mining
Lindell, Y., & Pinkas, B. (2000) · Lecture Notes in Computer Science · doi:10.1007/3-540-44598-6_3 · Cited by 1,077
Cited by
Protecting Location Privacy Through Path Confusion
Hoh, B., & Gruteser, M. (2006) · First International Conference on Security and Privacy for Emerging Areas in Communications Networks (SECURECOMM'05) · doi:10.1109/securecomm.2005.33 · Cited by 386
Privacy-preserving SVM classification
Vaidya, J., Yu, H., & Jiang, X. (2008) · Knowledge and Information Systems · doi:10.1007/s10115-007-0073-7 · Cited by 178
Koshiyama, A., Kazim, E., Treleaven, P., Rai, P., Szpruch, L., Pavey, G., Ahamat, G., Leutner, F., Goebel, R., Knight, A., et al. (2024) · Royal Society Open Science · doi:10.1098/rsos.230859 · Cited by 110
Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis
Malekzadeh, M., Clegg, R. G., & Haddadi, H. (2018) · 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI) · doi:10.1109/iotdi.2018.00025 · Cited by 76
Metadata
- Authors
- Kargupta, H., Datta, S., Wang, Q., & Sivakumar, K.
- Venue
- Knowledge and Information Systems
- Published
- 2005-05
- Volume
- 7
- Issue
- 4
- Pages
- 387-414
- ISSN
- 0219-1377 (ISSN-L)
- 0219-3116
- OpenAlex
- W2077884493
- Cited by
- 212
- References
- 2
- FWCI
- 9.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Kargupta, H., Datta, S., Wang, Q., & Sivakumar, K. (2005). Random-data perturbation techniques and privacy-preserving data mining. Knowledge and Information Systems. https://doi.org/10.1007/s10115-004-0173-6
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.