Privacy-Preserving Data Imputation

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	Similar Articles Articles by Geetha Jagannathan Articles by Rebecca N. Wright

Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)

Hong Kong, China

December 18-December 22

ISBN: 0-7695-2702-7

	ASCII Text	x
	Geetha Jagannathan, Rebecca N. Wright, "Privacy-Preserving Data Imputation," Data Mining Workshops, International Conference on, pp. 535-540, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006.

	BibTex	x
	@article{ 10.1109/ICDMW.2006.134, author = {Geetha Jagannathan and Rebecca N. Wright}, title = {Privacy-Preserving Data Imputation}, journal ={Data Mining Workshops, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2702-7}, pages = {535-540}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.134}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining Workshops, International Conference on TI - Privacy-Preserving Data Imputation SN - 0-7695-2702-7 SP535 EP540 A1 - Geetha Jagannathan, A1 - Rebecca N. Wright, PY - 2006 KW - null VL - 0 JA - Data Mining Workshops, International Conference on ER -

Geetha Jagannathan, Stevens Institute of Technology, Hoboken, NJ

Rebecca N. Wright, Stevens Institute of Technology, Hoboken, NJ

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.134

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.

Citation:

Geetha Jagannathan, Rebecca N. Wright, "Privacy-Preserving Data Imputation," icdmw, pp.535-540, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006

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