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%0 Conference Paper
%1 le2021towards
%A Le Quy, Tai
%A Ntoutsi, Eirini
%B Proceedings of The 14th International Conference on Educational Data Mining (EDM21)
%D 2021
%K AIML_group l3s myown
%P 847--851
%T Towards fair, explainable and actionable clustering for learning analytics
%U https://educationaldatamining.org/EDM2021/virtual/static/pdf/EDM21_paper_270.pdf
@inproceedings{le2021towards,
added-at = {2022-12-10T19:50:07.000+0100},
author = {Le Quy, Tai and Ntoutsi, Eirini},
biburl = {https://www.bibsonomy.org/bibtex/20d908b46e5c773b4db39e44a9cf80caf/entoutsi},
booktitle = {Proceedings of The 14th International Conference on Educational Data Mining (EDM21)},
interhash = {cf709836fd5560f0c811f0b3ce716910},
intrahash = {0d908b46e5c773b4db39e44a9cf80caf},
keywords = {AIML_group l3s myown},
pages = {847--851},
timestamp = {2022-12-11T08:58:45.000+0100},
title = {Towards fair, explainable and actionable clustering for learning analytics},
url = {https://educationaldatamining.org/EDM2021/virtual/static/pdf/EDM21_paper_270.pdf},
year = 2021
}
