Fault tolerant secure K-means clustering data mining on semi-honest parties
This project report will discuss the design of secure fault tolerant k-means clustering data mining on semi-honest parties. The algorithm will protect all parties’ privacy while using caching and checkpointing to tolerate unexpected fault exceptions, such as party dies during processing. Sha...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2010
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| Online Access: | http://hdl.handle.net/10356/36286 |