Estimating NBC-based recommendations on arbitrarily partitioned data with privacy
- 1 December 2012
- journal article
- research article
- Published by Elsevier BV in Knowledge-Based Systems
- Vol. 36, 353-362
- https://doi.org/10.1016/j.knosys.2012.07.015
Abstract
No abstract availableKeywords
This publication has 32 references indexed in Scilit:
- Constructing naive Bayesian classifiers for veterinary medicine: A case study in the clinical diagnosis of classical swine feverResearch in Veterinary Science, 2011
- Data Mining Methods for Recommender SystemsPublished by Springer Science and Business Media LLC ,2010
- Improving Privacy-Preserving NBC-Based Recommendations by PreprocessingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Similar or Dissimilar Users? Or Both?Published by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Privacy preserving decision tree learning over multiple partiesData & Knowledge Engineering, 2007
- Providing Naïve Bayesian Classifier-Based Private Recommendations on Partitioned DataLecture Notes in Computer Science, 2007
- Privacy-Preserving Genetic Algorithms for Rule DiscoveryLecture Notes in Computer Science, 2007
- Providing Private Recommendations Using Naïve Bayesian ClassifierPublished by Springer Science and Business Media LLC ,2007
- Secure knowledge management: confidentiality, trust, and privacyIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2006
- Privacy-preserving distributed k-means clustering over arbitrarily partitioned dataPublished by Association for Computing Machinery (ACM) ,2005