Isel Grau, Isel Grau, Luis Daniel Hernandez, Luis Daniel Hernandez, Astrid Sierens, Astrid Sierens, Simeon Michel, Simeon Michel, Nico Sergeyssels, Nico Sergeyssels, Catherine Middag, Catherine Middag, Vicky Froyen, Vicky Froyen, Ann Nowé, Ann Nowé
In this demo, we showcase the ``Talking to your Data'' system. The key idea of this system is to support data governance and data mining in a novel way. We aim to bring the use of interpretable machine learning techniques closer to the business analysts by using natural language. We have developed a conversational agent and a data mining backend that supports the analysis of data. Our approach facilitates solving prediction tasks and also provides explanations for these predictions. Furthermore, we make possible the interaction for including the feedback of the business analysts in the models.
Grau, I, Hernandez, LD, Sierens, A, Michel, S, Sergeyssels, N, Middag, C, Froyen, V & Nowé, A 2021, 'Talking to your Data: Interactive and interpretable data mining through a conversational agent', Paper presented at 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning, Luxembourg, 10/11/21 - 12/11/21 pp. 745-747. <https://luis.leiva.name/tmp/bnaic2021_preproceedings.pdf>
Grau, I., Hernandez, L. D., Sierens, A., Michel, S., Sergeyssels, N., Middag, C., Froyen, V., & Nowé, A. (2021). Talking to your Data: Interactive and interpretable data mining through a conversational agent. 745-747. Paper presented at 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning, Luxembourg. https://luis.leiva.name/tmp/bnaic2021_preproceedings.pdf
@conference{18ed60aaf6164c3386fef15ee7ec45df,
title = "Talking to your Data: Interactive and interpretable data mining through a conversational agent",
abstract = "In this demo, we showcase the ``Talking to your Data'' system. The key idea of this system is to support data governance and data mining in a novel way. We aim to bring the use of interpretable machine learning techniques closer to the business analysts by using natural language. We have developed a conversational agent and a data mining backend that supports the analysis of data. Our approach facilitates solving prediction tasks and also provides explanations for these predictions. Furthermore, we make possible the interaction for including the feedback of the business analysts in the models.",
author = "Isel Grau and Hernandez, \{Luis Daniel\} and Astrid Sierens and Simeon Michel and Nico Sergeyssels and Catherine Middag and Vicky Froyen and Ann Now{\'e}",
note = "Best Demo Award BNAIC/Benelearn 2021; 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning : 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning, BNAIC/BeneLearn 2021 ; Conference date: 10-11-2021 Through 12-11-2021",
year = "2021",
language = "English",
pages = "745--747",
url = "https://bnaic2021.uni.lu/",
}