%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 }