{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T16:44:14Z","timestamp":1782405854306,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":10,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,11,3]],"date-time":"2019-11-03T00:00:00Z","timestamp":1572739200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,11,3]]},"DOI":"10.1145\/3357384.3358118","type":"proceedings-article","created":{"date-parts":[[2019,11,4]],"date-time":"2019-11-04T14:11:35Z","timestamp":1572876695000},"page":"2241-2244","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":40,"title":["Time-Series Aware Precision and Recall for Anomaly Detection"],"prefix":"10.1145","author":[{"given":"Won-Seok","family":"Hwang","sequence":"first","affiliation":[{"name":"The Affiliated Institute of ETRI, Daejeon, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeong-Han","family":"Yun","sequence":"additional","affiliation":[{"name":"The Affiliated Institute of ETRI, Daejeon, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonguk","family":"Kim","sequence":"additional","affiliation":[{"name":"The Affiliated Institute of ETRI, Daejeon, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyoung Chun","family":"Kim","sequence":"additional","affiliation":[{"name":"The Affiliated Institute of ETRI, Daejeon, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,11,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"J. Goh etal 2016. A dataset to support research in the design of secure water treatment systems. In CRITIS. 88--99.  J. Goh et al. 2016. A dataset to support research in the design of secure water treatment systems. In CRITIS. 88--99.","DOI":"10.1007\/978-3-319-71368-7_8"},{"key":"e_1_3_2_1_2_1","volume-title":"5th Workshop on CyberICPS (accepted","author":"Kim J."},{"key":"e_1_3_2_1_3_1","volume-title":"Proc. of the 2018 Workshop on Cyber-Physical Systems Security and PrivaCy. 72--83","author":"Kravchik M."},{"key":"e_1_3_2_1_4_1","volume-title":"Proc. of ICMLA. 38--44","author":"Lavin A."},{"key":"e_1_3_2_1_5_1","unstructured":"D. Li etal 2018. Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series. (2018). arXiv:1809.04758  D. Li et al. 2018. Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series. (2018). arXiv:1809.04758"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2013.01.012"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"B. Sch\u00f6lkopf etal 2001. Estimating the support of a high-dimensional distribution. Neural computation 13 7 (2001) 1443--1471.  B. Sch\u00f6lkopf et al. 2001. Estimating the support of a high-dimensional distribution. Neural computation 13 7 (2001) 1443--1471.","DOI":"10.1162\/089976601750264965"},{"key":"e_1_3_2_1_9_1","volume-title":"Proc. of IJCNN. 1570--1577","author":"Singh N."},{"key":"e_1_3_2_1_10_1","unstructured":"N. Tatbul etal 2018. Precision and Recall for Time Series. In Advances in Neural Information Processing Systems. 1924--1934.  N. Tatbul et al. 2018. Precision and Recall for Time Series. In Advances in Neural Information Processing Systems. 1924--1934."}],"event":{"name":"CIKM '19: The 28th ACM International Conference on Information and Knowledge Management","location":"Beijing China","acronym":"CIKM '19","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 28th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3357384.3358118","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3357384.3358118","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:10Z","timestamp":1750202590000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3357384.3358118"}},"subtitle":["Considering Variety of Detection Result and Addressing Ambiguous Labeling"],"short-title":[],"issued":{"date-parts":[[2019,11,3]]},"references-count":10,"alternative-id":["10.1145\/3357384.3358118","10.1145\/3357384"],"URL":"https:\/\/doi.org\/10.1145\/3357384.3358118","relation":{},"subject":[],"published":{"date-parts":[[2019,11,3]]},"assertion":[{"value":"2019-11-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}