• DocumentCode
    3335072
  • Title

    Metric-Based Data Mining Model for Genealogical Record Linkage

  • Author

    Ivie, Stephen ; Pixton, Burdette ; Giraud-Carrier, Christophe

  • Author_Institution
    Brigham Young Univ., Provo
  • fYear
    2007
  • fDate
    13-15 Aug. 2007
  • Firstpage
    538
  • Lastpage
    543
  • Abstract
    Genealogical Record Linkage (GRL) is the process of determining whether two pedigrees refer to the same base individual. Unlike other record linkage problems, GRL datasets are extremely sparse and have several multi-valued attributes. In this paper, we describe a metric-based, data mining approach to GRL, and report on its successful application to a large post-blocking, standardized database.
  • Keywords
    biology computing; data mining; genetics; genealogical record linkage; metric-based data mining; multivalued attribute; Cancer; Computer science; Couplings; Data mining; Databases; Decision trees; Diseases; Genetics; Performance evaluation; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration, 2007. IRI 2007. IEEE International Conference on
  • Conference_Location
    Las Vegas, IL
  • Print_ISBN
    1-4244-1500-4
  • Electronic_ISBN
    1-4244-1500-4
  • Type

    conf

  • DOI
    10.1109/IRI.2007.4296676
  • Filename
    4296676
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3335072