Deep reinforcement-learning framework for exploratory data analysis

Tova Milo; Amit Somech

doi:10.1145/3211954.3211958

Deep reinforcement-learning framework for exploratory data analysis

Tova Milo, Amit Somech

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

Deep Reinforcement Learning (DRL) is unanimously considered as a breakthrough technology, used in solving a growing number of AI challenges previously considered to be intractable. In this work, we aim to set the ground for employing DRL techniques in the context of Exploratory Data Analysis (EDA), an important yet challenging, that is critical in many application domains. We suggest an end-to-end framework architecture, coupled with an initial implementation of each component. The goal of this short paper is to encourage the exploration of DRL models and techniques for facilitating a full-fledged, autonomous solution for EDA.

Original language	English
Title of host publication	Proceedings of the 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9781450358514
DOIs	https://doi.org/10.1145/3211954.3211958
State	Published - 10 Jun 2018
Externally published	Yes
Event	1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018 - Houston, United States Duration: 10 Jun 2018 → …

Publication series

Name	Proceedings of the 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018

Conference

Conference	1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018
Country/Territory	United States
City	Houston
Period	10/06/18 → …

Bibliographical note

Publisher Copyright:
© 2018 ACM.

Keywords

Deep Reinforcement Learning
Exploratory Data Analysis

Access to Document

10.1145/3211954.3211958

Cite this

Milo, T., & Somech, A. (2018). Deep reinforcement-learning framework for exploratory data analysis. In Proceedings of the 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018 [3211958] (Proceedings of the 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018). Association for Computing Machinery, Inc. https://doi.org/10.1145/3211954.3211958

Milo, Tova ; Somech, Amit. / Deep reinforcement-learning framework for exploratory data analysis. Proceedings of the 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018. Association for Computing Machinery, Inc, 2018. (Proceedings of the 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018).

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abstract = "Deep Reinforcement Learning (DRL) is unanimously considered as a breakthrough technology, used in solving a growing number of AI challenges previously considered to be intractable. In this work, we aim to set the ground for employing DRL techniques in the context of Exploratory Data Analysis (EDA), an important yet challenging, that is critical in many application domains. We suggest an end-to-end framework architecture, coupled with an initial implementation of each component. The goal of this short paper is to encourage the exploration of DRL models and techniques for facilitating a full-fledged, autonomous solution for EDA.",

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Milo, T & Somech, A 2018, Deep reinforcement-learning framework for exploratory data analysis. in Proceedings of the 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018., 3211958, Proceedings of the 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018, Association for Computing Machinery, Inc, 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018, Houston, United States, 10/06/18. https://doi.org/10.1145/3211954.3211958

Deep reinforcement-learning framework for exploratory data analysis. / Milo, Tova; Somech, Amit.
Proceedings of the 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018. Association for Computing Machinery, Inc, 2018. 3211958 (Proceedings of the 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Milo T, Somech A. Deep reinforcement-learning framework for exploratory data analysis. In Proceedings of the 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018. Association for Computing Machinery, Inc. 2018. 3211958. (Proceedings of the 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018). doi: 10.1145/3211954.3211958

Deep reinforcement-learning framework for exploratory data analysis

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