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

Tel Aviv University

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

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
ISBN (Electronic)	9781450358514
DOIs	https://doi.org/10.1145/3211954.3211958
State	Published - 10 Jun 2018
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 → …

Keywords

Deep Reinforcement Learning
Exploratory Data Analysis

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Software
Information Systems

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 Article 3211958 (Proceedings of the 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018). https://doi.org/10.1145/3211954.3211958

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title = "Deep reinforcement-learning framework for exploratory data analysis",

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.",

keywords = "Deep Reinforcement Learning, Exploratory Data Analysis",

author = "Tova Milo and Amit Somech",

note = "Publisher Copyright: {\textcopyright} 2018 ACM.; 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018 ; Conference date: 10-06-2018",

year = "2018",

month = jun,

day = "10",

doi = "10.1145/3211954.3211958",

language = "الإنجليزيّة",

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

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

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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, 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. 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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AU - Somech, Amit

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N2 - 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.

AB - 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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M3 - منشور من مؤتمر

T3 - Proceedings of the 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018

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

T2 - 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2018

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ER -

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. 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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