{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T22:24:06Z","timestamp":1759962246895,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,6,10]],"date-time":"2018-06-10T00:00:00Z","timestamp":1528588800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"ISF","award":["2017"],"award-info":[{"award-number":["2017"]}]},{"name":"Intel","award":["2017"],"award-info":[{"award-number":["2017"]}]},{"name":"ERC","award":["291071"],"award-info":[{"award-number":["291071"]}]},{"name":"IIA","award":["2017"],"award-info":[{"award-number":["2017"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,6,10]]},"DOI":"10.1145\/3211954.3211958","type":"proceedings-article","created":{"date-parts":[[2018,5,22]],"date-time":"2018-05-22T12:05:37Z","timestamp":1526990737000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Deep Reinforcement-Learning Framework for Exploratory Data Analysis"],"prefix":"10.1145","author":[{"given":"Tova","family":"Milo","sequence":"first","affiliation":[{"name":"Tel Aviv University"}]},{"given":"Amit","family":"Somech","sequence":"additional","affiliation":[{"name":"Tel Aviv University"}]}],"member":"320","published-online":{"date-parts":[[2018,6,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2014.11.003"},{"key":"e_1_3_2_1_2_1","unstructured":"R. Bordawekar B. Bandyopadhyay and O. Shmueli. Cognitive database: A step towards endowing relational databases with artificial intelligence capabilities. arXiv:1712.07199 2017.  R. Bordawekar B. Bandyopadhyay and O. Shmueli. Cognitive database: A step towards endowing relational databases with artificial intelligence capabilities. arXiv:1712.07199 2017."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-41062-8_28"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2599168"},{"key":"e_1_3_2_1_5_1","unstructured":"G. Dulac-Arnold R. Evans H. van Hasselt P. Sunehag T. Lillicrap J. Hunt T. Mann T. Weber T. Degris and B. Coppin. Deep reinforcement learning in large discrete action spaces. arXiv:1512.07679 2015.  G. Dulac-Arnold R. Evans H. van Hasselt P. Sunehag T. Lillicrap J. Hunt T. Mann T. Weber T. Degris and B. Coppin. Deep reinforcement learning in large discrete action spaces. arXiv:1512.07679 2015."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.79"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2012.2218595"},{"key":"e_1_3_2_1_8_1","unstructured":"M. Hausknecht and P. Stone. Deep reinforcement learning in parameterized action space. arXiv:1511.04143 2015.  M. Hausknecht and P. Stone. Deep reinforcement learning in parameterized action space. arXiv:1511.04143 2015."},{"key":"e_1_3_2_1_9_1","unstructured":"Y. Li. Deep reinforcement learning: An overview. arXiv:1701.07274 2017.  Y. Li. Deep reinforcement learning: An overview. arXiv:1701.07274 2017."},{"volume-title":"NIPS","year":"2013","author":"Mikolov T.","key":"e_1_3_2_1_10_1"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2899392"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/645338.650401"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.14778\/2831360.2831371"}],"event":{"name":"SIGMOD\/PODS '18: International Conference on Management of Data","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"],"location":"Houston TX USA","acronym":"SIGMOD\/PODS '18"},"container-title":["Proceedings of the First International Workshop on Exploiting Artificial Intelligence Techniques for Data Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3211954.3211958","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3211954.3211958","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:39:14Z","timestamp":1750210754000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3211954.3211958"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,10]]},"references-count":13,"alternative-id":["10.1145\/3211954.3211958","10.1145\/3211954"],"URL":"https:\/\/doi.org\/10.1145\/3211954.3211958","relation":{},"subject":[],"published":{"date-parts":[[2018,6,10]]},"assertion":[{"value":"2018-06-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}