FONDUE - Fine-Tuned Optimization: Nurturing Data Usability & Efficiency - University of Regensburg Publication Server

URN to cite this document:: urn:nbn:de:bvb:355-epub-771261
DOI to cite this document:: 10.5283/epub.77126

Restat, Valerie ; Diestelkämper, Indra ; Klettke, Meike

; Störl, Uta

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 10 Jul 2025 09:04

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Abstract

To provide good results and decisions in data-driven systems, data quality must be ensured as a primary consideration. An important aspect of this is data cleaning. Although many different algorithms and tools already exist for data cleaning, an end-to-end data quality solution is still needed. In this paper, we present FONDUE, our vision of a well-founded end-to-end data quality optimizer. In ...