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| 01539cam 2200241za 4500 |
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001 | 9.829719 |
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003 | CaOODSP |
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005 | 20221107145347 |
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007 | cr ||||||||||| |
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008 | 170104s2011 quc |o f|0| 0 eng d |
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040 | |aCaOODSP|beng |
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043 | |an-cn--- |
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086 | 1 |aD69-24/2011E-PDF |
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100 | 1 |aFrini, Anissa. |
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245 | 13|aAn intelligence process model based on a collaborative approach |h[electronic resource] / |cAnissa Frini and Anne-Claire Bourey-Brisset. |
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260 | |aQuebec, QC : |bDefence R & D Canada, |c[2011] |
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300 | |aii, 19 p. : |bfigs. |
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504 | |aIncludes bibliographic references. |
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520 | |a"In the intelligence domain, the collection and processing of information and intelligence from multiple ISR sources (including sensors, human, open sources, etc.) is essential to produce actionable intelligences of high value in order to counter threat operations. In current practice, the outputs of different disciplines are more often separated from one another and thus, cross-checking is limited. Further, the traditional intelligence cycle model lacks in representing the process from an all-source perspective. In this paper, we propose an all-source intelligence process model that respresents elements of the intelligence process from an all-source perspective"--Abstract. |
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692 | 07|2gccst|aTechnical reports |
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700 | 1 |aBourey-Brisset, Anne-Claire. |
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710 | 1 |aCanada. |bDefence R&D Canada. |
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856 | 40|qPDF|s1.19 MB|uhttps://publications.gc.ca/collections/collection_2017/rddc-drdc/D69-24-2011-eng.pdf |
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