Privacy-preserving data mining via secure multiparty computation
Conventional data mining algorithms handle with the data sets that are usually maintained in one central server. If data sets are distributed among multiple parties, one trusted server collects the data sets first before performing data mining tasks. Distributed data mining (DDM) [27, 28, 103] was p...
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| Format: | Thesis |
| Language: | English |
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2010
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| Online Access: | https://hdl.handle.net/10356/41834 |