{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T05:52:18Z","timestamp":1777614738660,"version":"3.51.4"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,20]],"date-time":"2020-07-20T00:00:00Z","timestamp":1595203200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,20]],"date-time":"2020-07-20T00:00:00Z","timestamp":1595203200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,20]],"date-time":"2020-07-20T00:00:00Z","timestamp":1595203200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7,20]]},"DOI":"10.1109\/indin45582.2020.9442099","type":"proceedings-article","created":{"date-parts":[[2021,6,8]],"date-time":"2021-06-08T21:43:32Z","timestamp":1623188612000},"page":"446-451","source":"Crossref","is-referenced-by-count":3,"title":["Supervised and Unsupervised Learning for Fraud and Money Laundering Detection using Behavior Measuring Distance"],"prefix":"10.1109","author":[{"given":"Yimin","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/11499145_99"},{"key":"ref11","first-page":"421","article-title":"Bootstrapping a data mining intrusion detection system","author":"d","year":"2003","journal-title":"Proceedings of the ACM Symposium on Applied Computing"},{"key":"ref12","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","author":"ester","year":"1996","journal-title":"Proceedings of the International Conference on Knowledge Discovery and Data Mining"},{"key":"ref13","first-page":"1","article-title":"Application of Cluster-Based Local Outlier Factor Algorithm in Anti-Money Laundering","author":"zengan","year":"0","journal-title":"International Conference on Management and Service Science"},{"key":"ref14","article-title":"Using clustering and robust estimators to detect outliers in multivariate data","author":"pires","year":"0","journal-title":"Proceedings of the International Conference on Robust Statistics"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-44966-0_19"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5539\/cis.v7n1p103"},{"key":"ref17","article-title":"Learning states and rules for time-series anomaly detection","author":"sal","year":"2003","journal-title":"Tech rep CS-2003-05 Department of Computer Science Florida Institute of Technology Melbourne"},{"key":"ref18","first-page":"577","article-title":"Application of Data Mining for Anti-money Laundering Detection: A Case Study","author":"khac","year":"0","journal-title":"2010 IEEE International Conference on Data Mining Workshops"},{"key":"ref19","article-title":"Survey of clustering based financial fraud detection research","author":"sabau","year":"2012","journal-title":"Informatica Economica"},{"key":"ref4","first-page":"10084","article-title":"Data Mining Techniques for Anti Money Laundering","volume":"12","author":"salehi","year":"2017","journal-title":"International Journal of Applied Engineering Research"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.2200\/S00196ED1V01Y200906AIM006"},{"key":"ref6","first-page":"1555965","article-title":"Weighted support vector machine for data classification","volume":"2","author":"yang","year":"2005","journal-title":"IJPRAI 21 859 &#x2013; 864"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2007.02.001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2010.12.101"},{"key":"ref7","author":"han","year":"2011","journal-title":"Data Mining Concepts and Techniques Elsevier"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICICTA.2010.831"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2015.04.013"},{"key":"ref9","first-page":"392","article-title":"Algorithms for Mining Distance-Based Outliers in Large Datasets","author":"knorr","year":"0","journal-title":"Proceedings of the 24rd International Conference on Very Large Data Bases Morgan Kaufmann Publishers Inc"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC.2011.5968986"},{"key":"ref21","first-page":"405","author":"kaufman","year":"1987","journal-title":"Clustering by means of medoids in Statistical Data Analysis Based on the L1-Norm and Related Methods"}],"event":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","location":"Warwick, United Kingdom","start":{"date-parts":[[2020,7,20]]},"end":{"date-parts":[[2020,7,23]]}},"container-title":["2020 IEEE 18th International Conference on Industrial Informatics (INDIN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9441666\/9442071\/09442099.pdf?arnumber=9442099","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:52:38Z","timestamp":1656453158000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9442099\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,20]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/indin45582.2020.9442099","relation":{},"subject":[],"published":{"date-parts":[[2020,7,20]]}}}