Provenance analysis for sensemaking. IEEE Computer Graphics and Applications, 39 (6) . pp. 27-29. ISSN 0272-1716

Edited Journal

Fekete, J., Jankun-Kelly, T., Tory, M. and Xu, K. 2019. Provenance analysis for sensemaking. IEEE Computer Graphics and Applications, 39 (6) . pp. 27-29. ISSN 0272-1716. IEEE.
TypeEdited Journal
TitleProvenance analysis for sensemaking. IEEE Computer Graphics and Applications, 39 (6) . pp. 27-29. ISSN 0272-1716
AuthorsFekete, J., Jankun-Kelly, T., Tory, M. and Xu, K.
Abstract

The articles in this special section examine the concept of "sensemaking", which refers to how we structure the unknown so as to be able to act in it. In the context of data analysis it involves understanding the data, generating hypotheses, selecting analysis methods, creating novel solutions, and critical thinking and learning wherever needed. Due to its explorative and creative nature, sensemaking is arguably the most challenging part of any data analysis.

ISSN0272-1716
Electronic1558-1756
PublisherIEEE
Publication dates
Print01 Nov 2019
Online01 Nov 2019
Publication process dates
Deposited16 Nov 2020
Accepted01 Oct 2019
Output statusPublished
Accepted author manuscript
Copyright Statement

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Digital Object Identifier (DOI)https://doi.org/10.1109/MCG.2019.2945378
LanguageEnglish
JournalIEEE Computer Graphics and Applications
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Accepted author manuscript
CG&A-special-issue-final.pdf

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