Selecting Top-k Data Science Models by Example Dataset.

Mengying Wang|Sheng Guan|Hanchao Ma|Yiyang Bian|Haolai Che|Abhishek Daundkar|Alp Sehirlioglu|Yinghui Wu


Anthology ID:DBLP:conf/cikm/WangGMBCDSW23
Volume:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Year:2023
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:2686-2695
URL:https://doi.org/10.1145/3583780.3615051
DOI:https://doi.org/10.1145/3583780.3615051
DBLP:conf/cikm/WangGMBCDSW23
BibTeX:
@inproceedings{wang-2023-selecting, author = {Mengying Wang and Sheng Guan and Hanchao Ma and Yiyang Bian and Haolai Che and Abhishek Daundkar and Alp Sehirlioglu and Yinghui Wu}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{Selecting Top-k Data Science Models by Example Dataset}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {2686--2695}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3615051}, doi = {https://doi.org/10.1145/3583780.3615051} }