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Software Supported Pattern Development in Intelligence Analysis

Published • Oct 1, 2006
NobleIDNI6P63W51R98S83
Authors:
Michael Wolverto
,
Ian Harrison
,
John D. Lowrance

Abstract

Intelligence professionals work with incomplete and noisy data. Their information needs are often hard to express, and almost impossible to get right the first time. This paper describes the GEM pattern language for encoding analysts' information needs in graphical patterns, and its use in the Link ...

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