{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T08:28:00Z","timestamp":1770452880696,"version":"3.49.0"},"reference-count":0,"publisher":"SCITEPRESS - Science and Technology Publications","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.5220\/0013637500003967","type":"proceedings-article","created":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T05:26:02Z","timestamp":1751952362000},"page":"171-181","source":"Crossref","is-referenced-by-count":0,"title":["An Extreme Gradient Boosting (XGBoost) Trees Approach to Detect and Identify Unlawful Insider Trading (UIT) Transactions"],"prefix":"10.5220","author":[{"given":"Krishna","family":"Neupane","sequence":"first","affiliation":[{"name":"George Mason University, Department of Computational and Data Science, U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Igor","family":"Griva","sequence":"additional","affiliation":[{"name":"George Mason University, Department of Mathematical Science, U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3171","event":{"name":"14th International Conference on Data Science, Technology and Applications","location":"Bilbao, Spain","start":{"date-parts":[[2025,6,10]]},"end":{"date-parts":[[2025,6,12]]}},"container-title":["Proceedings of the 14th International Conference on Data Science, Technology and Applications"],"original-title":["An Extreme Gradient Boosting (XGBoost) Trees Approach to Detect and Identify Unlawful Insider Trading (UIT) Transactions"],"deposited":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T05:26:06Z","timestamp":1751952366000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.scitepress.org\/DigitalLibrary\/Link.aspx?doi=10.5220\/0013637500003967"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5220\/0013637500003967","relation":{},"subject":[],"published":{"date-parts":[[2025]]}}}