• DocumentCode
    3260566
  • Title

    Privacy-Preserving Data Linkage and Geocoding: Current Approaches and Research Directions

  • Author

    Christen, Peter

  • Author_Institution
    Dept. of Comput. Sci., Australian Nat. Univ., Canberra, ACT
  • fYear
    2006
  • fDate
    Dec. 2006
  • Firstpage
    497
  • Lastpage
    501
  • Abstract
    Data linkage is the task of matching and aggregating records that relate to the same entity from one or more data sets. A related technique is geocoding, the matching of addresses to their geographic locations. As data linkage is often based on personal information (like names and addresses), privacy and confidentiality are of paramount importance. In this paper we present an overview of current approaches to privacy-pre serving data linkage, and discuss their limitations. Using real-world scenarios we illustrate the significance of developing improved techniques for automated, large scale and distributed privacy-pre serving linking and geocoding. We then discuss four core research areas that need to be addressed in order to make linking and geocoding of large confidential data collections feasible
  • Keywords
    data privacy; confidential data; data collections; data linkage; geocoding; privacy preservation; Computer science; Conferences; Couplings; Data mining; Government; Information retrieval; Joining processes; Ores; Soil; Terrorism;
  • 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.2006.135
  • Filename
    4063678