Privacy-Preserving Data Imputation

In this paper, we investigate privacy-preserving data imputation on distributed databases. We present a privacypreserving protocol for filling in missing values using a lazy decision tree imputation algorithm for data that is horizontally partitioned between two parties. The participants of the protocol learn only the imputed values; the computed decision tree is not learned by either party.

• Type: Conference
• Year: 2006
• Where: ICDM
• Authors: Geetha Jagannathan, Rebecca N. Wright
• Keywords: Computed Decision Tree, Data Mining, Decision Tree Imputation, ICDM 2006, Privacy-preserving Data Imputation