Embedded caching framework for privacy preserving data mining

• 主要作者: Zhai, Ke
• 其他作者: Ng Wee Keong
• 格式: Final Year Project
• 語言: English
• 出版: 2009
• 主題: DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
• 在線閱讀: http://hdl.handle.net/10356/16947
• 機構: Nanyang Technological University

Most existing work on Privacy-Preserving Data Mining (PPDM) focus on enabling conventional data mining algorithms with the ability to run in a secure manner in a multi-party setting. Although various algorithms in data mining have been enhanced to incorporate secure mechanisms for data privacy prese...