{"id":28615,"date":"2023-04-24T13:27:10","date_gmt":"2023-04-24T11:27:10","guid":{"rendered":"https:\/\/kinit.sk\/publication\/expert-enhanced-dynamic-time-warping-based-anomaly-detection\/"},"modified":"2026-04-23T15:08:23","modified_gmt":"2026-04-23T13:08:23","slug":"expert-enhanced-dynamic-time-warping-based-anomaly-detection","status":"publish","type":"publication","link":"https:\/\/kinit.sk\/sk\/publikacia\/expert-enhanced-dynamic-time-warping-based-anomaly-detection\/","title":{"rendered":"Expert Enhanced Dynamic Time Warping Based Anomaly Detection"},"content":{"rendered":"
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Kloska, M., Grmanova G.<\/strong><\/strong>, Rozinajova, V.<\/strong><\/p>\n<\/div>\n\n

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Dynamic time warping (DTW) is a well-known algorithm for time series elastic dissimilarity measure. Its ability to deal with non-linear time distortions makes it helpful in a variety of data mining tasks. Such a task is also anomaly detection which aims to reveal unexpected behavior in the given dataset. Anomaly detection becomes particularly challenging when there is only a small set of data for training. In this paper, we propose a novel anomaly detection method named Expert enhanced dynamic time warping anomaly detection (E-DTWA). It is based on DTW with additional enhancements involving the human-in-the-loop concept. The main benefits of our approach comprise efficient detection, flexible retraining based on strong consideration of the expert\u2019s detection feedback, and a step towards explainability while retaining low computational and space complexity.<\/p>\n<\/div>\n\n

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Cite: Kloska, M., Rozinajova, V., Grmanova, G. Expert Enhanced Dynamic Time Warping Based Anomaly Detection. Expert Systems with Applications (2023). DOI: 10.1016\/j.eswa.2023.120030<\/a><\/p>\n<\/div>\n\n\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[81,142],"class_list":["post-28615","publication","type-publication","status-publish","hentry","category-data-analytics-for-green-energy-sk","category-2023-sk"],"acf":[],"yoast_head":"\nExpert Enhanced Dynamic Time Warping Based Anomaly Detection - KInIT<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kinit.sk\/sk\/publikacia\/expert-enhanced-dynamic-time-warping-based-anomaly-detection\/\" \/>\n<meta property=\"og:locale\" content=\"sk_SK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Expert Enhanced Dynamic Time Warping Based Anomaly Detection - KInIT\" \/>\n<meta property=\"og:description\" content=\"Kloska, M., Grmanova G., Rozinajova, V. 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