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Authors: Michael Behringer ; Pascal Hirmer ; Alejandro Villanueva ; Jannis Rapp and Bernhard Mitschang

Affiliation: Institute of Parallel and Distributed Systems, University of Stuttgart, Universitätsstr. 38, D-70569 Stuttgart, Germany

Keyword(s): Data Quality, Explorative Data Analysis, Human-in-the-Loop, Data Mashups.

Abstract: The volume of data to be analyzed has increased tremendously in recent years. To extract knowledge from this data, domain experts gain new insights using graphical analysis tools for explorative analyses. Hereby, the reliability and trustworthiness of an explorative analysis are determined by the quality of the underlying data. Existing approaches require a manual inspection to ensure data quality. This inspection is frequently neglected, partly because domain experts often lack the necessary technical knowledge. Moreover, they might need many different tools for this purpose. In this paper, we present a novel interactive approach to integrate data quality into explorative data analysis in an unobtrusive manner. Our approach efficiently combines the strength of different experts, which is currently not supported by state-of-the-art tools, thereby allowing domain-specific adaptation. We implemented a fully working prototype to demonstrate the ability of our approach to support domain experts in explorative data analysis. (More)

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Paper citation in several formats:
Behringer, M.; Hirmer, P.; Villanueva, A.; Rapp, J. and Mitschang, B. (2023). Unobtrusive Integration of Data Quality in Interactive Explorative Data Analysis. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-648-4; ISSN 2184-4992, SciTePress, pages 276-285. DOI: 10.5220/0011998100003467

@conference{iceis23,
author={Michael Behringer. and Pascal Hirmer. and Alejandro Villanueva. and Jannis Rapp. and Bernhard Mitschang.},
title={Unobtrusive Integration of Data Quality in Interactive Explorative Data Analysis},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2023},
pages={276-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011998100003467},
isbn={978-989-758-648-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Unobtrusive Integration of Data Quality in Interactive Explorative Data Analysis
SN - 978-989-758-648-4
IS - 2184-4992
AU - Behringer, M.
AU - Hirmer, P.
AU - Villanueva, A.
AU - Rapp, J.
AU - Mitschang, B.
PY - 2023
SP - 276
EP - 285
DO - 10.5220/0011998100003467
PB - SciTePress

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