Talking to your Data: Interactive and interpretable data mining through a conversational agent

Isel Grau; Luis Daniel Hernandez; Astrid Sierens; Simeon Michel; Nico Sergeyssels; Catherine Middag; Vicky Froyen; Ann Nowé

Talking to your Data: Interactive and interpretable data mining through a conversational agent

Isel Grau, Luis Daniel Hernandez, Astrid Sierens, Simeon Michel, Nico Sergeyssels, Catherine Middag, Vicky Froyen, Ann Nowé

Research output: Unpublished contribution to conference › Unpublished paper

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.

Original language	English
Pages	745-747
Number of pages <span style="color:red"p> <font size="1.5"> ✽ </span> </font>	3
Publication status	Published - 2021
Event	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 - Luxembourg, Luxembourg Duration: 10 Nov 2021 → 12 Nov 2021 https://bnaic2021.uni.lu/

Conference

Conference	33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning
Abbreviated title	BNAIC/BeneLearn 2021
Country/Territory	Luxembourg
Period	10/11/21 → 12/11/21
Internet address	https://bnaic2021.uni.lu/

Bibliographical note

Best Demo Award BNAIC/Benelearn 2021

Access to Document

https://luis.leiva.name/tmp/bnaic2021_preproceedings.pdf

Cite this

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

Grau, Isel ; Hernandez, Luis Daniel ; Sierens, Astrid ; Michel, Simeon ; Sergeyssels, Nico ; Middag, Catherine ; Froyen, Vicky ; Nowé, Ann. / 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.3 p.

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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/",

}

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>

Talking to your Data: Interactive and interpretable data mining through a conversational agent. / Grau, Isel; Hernandez, Luis Daniel; Sierens, Astrid ; Michel, Simeon; Sergeyssels, Nico; Middag, Catherine; Froyen, Vicky; Nowé, Ann.

2021. 745-747 Paper presented at 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning, Luxembourg.

Research output: Unpublished contribution to conference › Unpublished paper

TY - CONF

T1 - Talking to your Data: Interactive and interpretable data mining through a conversational agent

AU - Grau, Isel

AU - Hernandez, Luis Daniel

AU - Sierens, Astrid

AU - Michel, Simeon

AU - Sergeyssels, Nico

AU - Middag, Catherine

AU - Froyen, Vicky

AU - Nowé, Ann

N1 - Best Demo Award BNAIC/Benelearn 2021

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

M3 - Unpublished paper

SP - 745

EP - 747

T2 - 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning

Y2 - 10 November 2021 through 12 November 2021

ER -

Talking to your Data: Interactive and interpretable data mining through a conversational agent

Abstract

Conference

Bibliographical note

Access to Document

Fingerprint

Cite this