Privacy-preserving back-propagation and extreme learning machine algorithms
Authors:
- 1 September 2012
- journal article
- Published by Elsevier in Data & Knowledge Engineering
- Vol. 79-80, 40-61
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- Accurate and large-scale privacy-preserving data mining using the election paradigmData & Knowledge Engineering, 2009
- Formal anonymity models for efficient privacy-preserving joinsData & Knowledge Engineering, 2009
- Privacy-preserving data publishing for cluster analysisData & Knowledge Engineering, 2009
- Data privacy protection in multi-party clusteringData & Knowledge Engineering, 2008
- Recent advances in preserving privacy when mining dataData & Knowledge Engineering, 2008
- The applicability of the perturbation based privacy preserving data mining for real-world dataData & Knowledge Engineering, 2008
- Privacy preserving clustering on horizontally partitioned dataData & Knowledge Engineering, 2007
- Cancelable Biometrics Realization With Multispace Random ProjectionsIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2007
- A secure distributed framework for achieving k-anonymityThe VLDB Journal, 2006
- Privacy-preserving distributed mining of association rules on horizontally partitioned dataIEEE Transactions on Knowledge and Data Engineering, 2004