Abstract
Intelligence analysis is a difficult task that involves mining complex datasets for clues. Distinguishing between evidence of suspicious activity and background noise is complicated, as is making connections between events, people, and other evidence. While algorithms to parse, extract, and make connections between data are important to this field, at some point the data must be interpreted by human users. Information visualization allows people to employ their innate visual strengths to gain insights about data and is necessary to effectively understand both raw data and the filtered output of algorithms.
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© 2006 Springer-Verlag Berlin Heidelberg
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Buennemeyer, T., Booker, J., Sabri, A., North, C. (2006). Intelligence Analysis Using High Resolution Displays. In: Mehrotra, S., Zeng, D.D., Chen, H., Thuraisingham, B., Wang, FY. (eds) Intelligence and Security Informatics. ISI 2006. Lecture Notes in Computer Science, vol 3975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760146_75
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DOI: https://doi.org/10.1007/11760146_75
Publisher Name: Springer, Berlin, Heidelberg
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