• DocumentCode
    1919463
  • Title

    Information understanding: integrating data fusion and data mining processes

  • Author

    Waltz, Edward L.

  • Author_Institution
    ERIM International, Ann Arbor, MI, USA
  • Volume
    6
  • fYear
    1998
  • fDate
    31 May-3 Jun 1998
  • Firstpage
    553
  • Abstract
    Data fusion and data mining are complementary processes that contribute abductive-inductive (learning and discovery) and deductive (detection) capabilities. Not to be confused with each other, the processes offer distinct and reciprocal capabilities that, once integrated, provide powerful tools for improving the automatic recognition of targets by complex, nonliteral signatures from multiple sources. ERIM International is developing and applying this integrated technology to improve the performance of traditional data fusion processes
  • Keywords
    inference mechanisms; military systems; sensor fusion; target tracking; ERIM International; abductive-inductive capabilities; automatic recognition; data fusion; data mining; deductive capabilities; multiple sources; nonliteral signatures; Business; Data mining; Event detection; Humans; Image analysis; Information analysis; Intelligent sensors; Object detection; Performance analysis; Target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    0-7803-4455-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.1998.705333
  • Filename
    705333