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
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