Details
| Original language | English |
|---|---|
| Article number | 2 |
| Pages (from-to) | 121-130 |
| Number of pages | 10 |
| Journal | Datenbank-Spektrum |
| Volume | 22 |
| Issue number | 2 |
| Early online date | 13 May 2022 |
| Publication status | Published - 2022 |
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Data Cleaning and AutoML: Would an Optimizer Choose to Clean? / Neutatz, Felix; Chen, Binger; Alkhatib, Yazan et al.
In: Datenbank-Spektrum, Vol. 22, No. 2, 2, 2022, p. 121-130.
In: Datenbank-Spektrum, Vol. 22, No. 2, 2, 2022, p. 121-130.
Research output: Contribution to journal › Article › Research › peer review
Neutatz, F, Chen, B, Alkhatib, Y, Ye, J & Abedjan, Z 2022, 'Data Cleaning and AutoML: Would an Optimizer Choose to Clean?', Datenbank-Spektrum, vol. 22, no. 2, 2, pp. 121-130. https://doi.org/10.1007/s13222-022-00413-2
Neutatz, F., Chen, B., Alkhatib, Y., Ye, J., & Abedjan, Z. (2022). Data Cleaning and AutoML: Would an Optimizer Choose to Clean? Datenbank-Spektrum, 22(2), 121-130. Article 2. https://doi.org/10.1007/s13222-022-00413-2
Neutatz F, Chen B, Alkhatib Y, Ye J, Abedjan Z. Data Cleaning and AutoML: Would an Optimizer Choose to Clean? Datenbank-Spektrum. 2022;22(2):121-130. 2. Epub 2022 May 13. doi: 10.1007/s13222-022-00413-2
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@article{7e3795084ea0423588ae04c61caf1182,
title = "Data Cleaning and AutoML: Would an Optimizer Choose to Clean?",
author = "Felix Neutatz and Binger Chen and Yazan Alkhatib and Jingwen Ye and Ziawasch Abedjan",
note = "This work was funded by the German Ministry for Education and Research as BIFOLD – Berlin Institute for the Foundations of Learning and Data (ref. 01IS18025A and ref. 01IS18037A). We thank Henrik Tipp.",
year = "2022",
doi = "10.1007/s13222-022-00413-2",
language = "English",
volume = "22",
pages = "121--130",
number = "2",
}
Download
TY - JOUR
T1 - Data Cleaning and AutoML
T2 - Would an Optimizer Choose to Clean?
AU - Neutatz, Felix
AU - Chen, Binger
AU - Alkhatib, Yazan
AU - Ye, Jingwen
AU - Abedjan, Ziawasch
N1 - This work was funded by the German Ministry for Education and Research as BIFOLD – Berlin Institute for the Foundations of Learning and Data (ref. 01IS18025A and ref. 01IS18037A). We thank Henrik Tipp.
PY - 2022
Y1 - 2022
U2 - 10.1007/s13222-022-00413-2
DO - 10.1007/s13222-022-00413-2
M3 - Article
VL - 22
SP - 121
EP - 130
JO - Datenbank-Spektrum
JF - Datenbank-Spektrum
IS - 2
M1 - 2
ER -