• DocumentCode
    3260666
  • Title

    Privacy-Preserving Data Imputation

  • Author

    Jagannathan, Geetha ; Wright, Rebecca N.

  • Author_Institution
    Stevens Inst. of Technol., Hoboken, NJ
  • fYear
    2006
  • fDate
    Dec. 2006
  • Firstpage
    535
  • Lastpage
    540
  • Abstract
    In this paper, we investigate privacy-preserving data imputation on distributed databases. We present a privacy-preserving 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
  • Keywords
    data privacy; decision trees; distributed databases; protocols; data imputation; distributed databases; lazy decision tree; privacy preservation; Classification tree analysis; Cleaning; Data mining; Data privacy; Decision trees; Distributed databases; Entropy; Filling; Partitioning algorithms; Protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    0-7695-2702-7
  • Type

    conf

  • DOI
    10.1109/ICDMW.2006.134
  • Filename
    4063685
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3260666