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Visual Analytics: Data, Analytical and Reasoning Provenance

  • Margaret VargaEmail author
  • Caroline Varga
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

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 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Seetru LtdBristolUK
  2. 2.University of OxfordOxfordUK

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