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Secure Association Rule Mining on Vertically Partitioned Data Using Private-Set Intersection
2020
IEEE Access
Data mining entails the discovery of unexpected but reusable knowledge from large unorganized datasets. Among the many available data-mining algorithms, association rule mining (ARM) is very common. It was developed to aggregate all data into one site and subsequently mine them. In recent years, organizations in different fields have been required to collaborate to create new value. However, data mining among and within organizations has raised privacy and confidentiality concerns. In our
doi:10.1109/access.2020.3014330
fatcat:46izv2bljbedzjylqdhd5da27u