PPDDM_reviewResults_V202108_V3.csv (126.82 kB)
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Review results of the manuscript "A Systematic Review on Privacy-Preserving Distributed Data Mining"

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dataset
modified on 26.08.2021, 10:01
This dataset contains the review results of the manuscript of "A Systematic Review on Privacy-Preserving Distributed Data Mining" authored by Chang Sun, Lianne Ippel, Andre Dekker, Michel Dumontier, Johan van Soest.
In the datasets, there are 231 published articles about privacy-perserving distributed data mining. Variables include article DOI, title, authors, keywords, user scenarios, distributed data scenarios, privacy/security definition/proof/analysis, privacy statement, privacy-preserving methods category, privacy-preserving methods (specific), data mining problem, data mining/machine learning methods, experiment data information, accuracy of the methods, efficiency (computation and communication cost), and scalability.
The search method and evaluation criteria are described in the paper "A Systematic Review on Privacy-Preserving Distributed Data Mining". The DOI and link to the paper will be provided when the paper gets published.

Funding

Dutch National Research Agenda (NWA; project number: 400.17.605)