Fault tolerant secure K-means clustering data mining on semi-honest parties

• Main Author: Qian, Xiaofeng
• Other Authors: Ng Wee Keong
• Format: Final Year Project
• Language: English
• Published: 2010
• Subjects: DRNTU::Engineering::Computer science and engineering::Data::Data encryption
• Online Access: http://hdl.handle.net/10356/36286
• Institution: Nanyang Technological University

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...