Visual Analytics: Data, Analytical and Reasoning Provenance

Margaret Varga () and Caroline Varga
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Margaret Varga: Seetru Ltd
Caroline Varga: Seetru Ltd

A chapter in Building Trust in Information, 2016, pp 141-150 from Springer

Abstract: Abstract Analysts and decision makers are increasingly overloaded with vast amounts of data/information which are often dynamic, complex, disparate, conflicting, incomplete and, at times, uncertain. Furthermore, problems and tasks that require their attention can be ambiguous, i.e. they are ill-defined. In order to make sense of complex data and situations and make informed decisions, they utilize their intuition, knowledge and experience. Provenance is fundamental for the user to capture and exploit effectively the explicit data and implicit knowledge within the decision making process. Provenance can usefully be considered at three conceptual levels, namely: data (what), analytical (how) and reasoning (why). This paper explores visual analytics in the exploitation of provenance within the decision making process.

Keywords: Analytical provenance; Data provenance; Hypothesis; Reasoning provenance; Visual analytics; Visualization (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-319-40226-0_9

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DOI: 10.1007/978-3-319-40226-0_9

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