EXPLORATORY INTELLIGENCE ANALISYS
EXPLORATORY INTELLIGENCE ANALISYS

Summary/Abstract: Traditional data analysis and intelligence analysis are strongly focused on testing hypotheses, which can be either corroborated or rejected by means of collected observations. Still, we must acknowledge that many hypotheses are just assumptions or prejudices, which are unlikely to be supported by evidence. Researchers may therefore select the observations which comply with their ideas, in an attempt to prove they were right in making assumptions. To avoid this pitfall, analysts should not neglect the preliminary steps of exploratory data analysis, by means of which new – and possibly more robust – hypotheses are explored, diminishing the constraints imposed on the analysis by the investigators’ creativity. Several descriptive and graphical techniques can be employed by intelligence analysts in order to succeed in this endeavor. This paper will give a summary account of some of them

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