{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:15:36Z","timestamp":1778602536381,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T00:00:00Z","timestamp":1597881600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["109-2636-E-006-017"],"award-info":[{"award-number":["109-2636-E-006-017"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Institute for Basic Science","award":["IBS-R029-C2"],"award-info":[{"award-number":["IBS-R029-C2"]}]},{"name":"World Customs Organization","award":["Customs Cooperation Fund of Korea"],"award-info":[{"award-number":["Customs Cooperation Fund of Korea"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,8,23]]},"DOI":"10.1145\/3394486.3403339","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T23:03:57Z","timestamp":1597964637000},"page":"2880-2890","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":23,"title":["DATE"],"prefix":"10.1145","author":[{"given":"Sundong","family":"Kim","sequence":"first","affiliation":[{"name":"Institute for Basic Science, Daejeon, Republic of Korea"}]},{"given":"Yu-Che","family":"Tsai","sequence":"additional","affiliation":[{"name":"National Cheng Kung University, Tainan, Taiwan Roc"}]},{"given":"Karandeep","family":"Singh","sequence":"additional","affiliation":[{"name":"Institute for Basic Science, Daejeon, Republic of Korea"}]},{"given":"Yeonsoo","family":"Choi","sequence":"additional","affiliation":[{"name":"World Customs Organization, Brussels, Belgium"}]},{"given":"Etim","family":"Ibok","sequence":"additional","affiliation":[{"name":"Nigeria Customs Service, Abuja, Nigeria"}]},{"given":"Cheng-Te","family":"Li","sequence":"additional","affiliation":[{"name":"National Cheng Kung University, Tainan, Taiwan Roc"}]},{"given":"Meeyoung","family":"Cha","sequence":"additional","affiliation":[{"name":"Institute for Basic Science, Daejeon, Republic of Korea"}]}],"member":"320","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2016.04.007"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13198-016-0551-y"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2015.01.001"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/molecules21080983"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.05.027"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1444\/1\/012028"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"crossref","unstructured":"Tianqi Chen and Carlos Guestrin. 2016. XGBoost: A scalable tree boosting system. In KDD. 785--794.  Tianqi Chen and Carlos Guestrin. 2016. XGBoost: A scalable tree boosting system. In KDD. 785--794.","DOI":"10.1145\/2939672.2939785"},{"key":"e_1_3_2_2_8_1","article-title":"Establishing risk and targeting profiles using data mining: Decision trees","volume":"13","author":"Chermiti Bassem","year":"2019","unstructured":"Bassem Chermiti . 2019 . Establishing risk and targeting profiles using data mining: Decision trees . World Customs Journal , Vol. 13 (2019). Bassem Chermiti. 2019. Establishing risk and targeting profiles using data mining: Decision trees. World Customs Journal, Vol. 13 (2019).","journal-title":"World Customs Journal"},{"key":"e_1_3_2_2_9_1","article-title":"Identifying trade mis-invoicing through customs data analysis","volume":"13","author":"Choi Yeonsoo","year":"2019","unstructured":"Yeonsoo Choi . 2019 . Identifying trade mis-invoicing through customs data analysis . World Customs Journal , Vol. 13 , 2 (2019). Yeonsoo Choi. 2019. Identifying trade mis-invoicing through customs data analysis. World Customs Journal, Vol. 13, 2 (2019).","journal-title":"World Customs Journal"},{"key":"e_1_3_2_2_10_1","volume-title":"Maria del Pilar Villamil, and C\u00e9sar Figueroa","author":"de Roux Daniel","year":"2018","unstructured":"Daniel de Roux , Boris Perez , Andr\u00e9s Moreno , Maria del Pilar Villamil, and C\u00e9sar Figueroa . 2018 . Tax fraud detection for under-reporting declarations using an unsupervised machine learning approach. In KDD. 215--222. Daniel de Roux, Boris Perez, Andr\u00e9s Moreno, Maria del Pilar Villamil, and C\u00e9sar Figueroa. 2018. Tax fraud detection for under-reporting declarations using an unsupervised machine learning approach. In KDD. 215--222."},{"key":"e_1_3_2_2_11_1","volume-title":"Artificial intelligence in the customs selection system through machine learning (SISAM). Receita Federal do Brasil","author":"Filho Jorge Jambeiro","year":"2015","unstructured":"Jorge Jambeiro Filho . 2015. Artificial intelligence in the customs selection system through machine learning (SISAM). Receita Federal do Brasil ( 2015 ). Jorge Jambeiro Filho. 2015. Artificial intelligence in the customs selection system through machine learning (SISAM). Receita Federal do Brasil (2015)."},{"key":"e_1_3_2_2_12_1","first-page":"2141","article-title":"HPB: A model for handling BN nodes with high cardinality parents","volume":"9","author":"Filho Jorge Jambeiro","year":"2008","unstructured":"Jorge Jambeiro Filho and Jacques Wainer . 2008 . HPB: A model for handling BN nodes with high cardinality parents . JMLR , Vol. 9 (2008), 2141 -- 2170 . Jorge Jambeiro Filho and Jacques Wainer. 2008. HPB: A model for handling BN nodes with high cardinality parents. JMLR, Vol. 9 (2008), 2141--2170.","journal-title":"JMLR"},{"key":"e_1_3_2_2_13_1","article-title":"Revenue maximisation versus trade facilitation: the contribution of automated risk management","volume":"13","author":"Grigoriou Christopher","year":"2019","unstructured":"Christopher Grigoriou . 2019 . Revenue maximisation versus trade facilitation: the contribution of automated risk management . World Customs Journal , Vol. 13 (2019). Christopher Grigoriou. 2019. Revenue maximisation versus trade facilitation: the contribution of automated risk management. World Customs Journal, Vol. 13 (2019).","journal-title":"World Customs Journal"},{"key":"e_1_3_2_2_14_1","volume-title":"et almbox","author":"He Xinran","year":"2014","unstructured":"Xinran He , Junfeng Pan , Ou Jin , Tianbing Xu , Bo Liu , Tao Xu , Yanxin Shi , Antoine Atallah , Ralf Herbrich , Stuart Bowers , et almbox . 2014 . Practical lessons from predicting clicks on ads at facebook. In ADKDD. 1--9. Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu, Tao Xu, Yanxin Shi, Antoine Atallah, Ralf Herbrich, Stuart Bowers, et almbox. 2014. Practical lessons from predicting clicks on ads at facebook. In ADKDD. 1--9."},{"key":"e_1_3_2_2_15_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.02.119"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/exsy.12191"},{"key":"e_1_3_2_2_18_1","volume-title":"Kai Ming Ting, and Zhi-Hua Zhou","author":"Liu Fei Tony","year":"2008","unstructured":"Fei Tony Liu , Kai Ming Ting, and Zhi-Hua Zhou . 2008 . Isolation forest. In ICDM. 413--422. Fei Tony Liu, Kai Ming Ting, and Zhi-Hua Zhou. 2008. Isolation forest. In ICDM. 413--422."},{"key":"e_1_3_2_2_19_1","volume-title":"On the variance of the adaptive learning rate and beyond arXiv preprint arXiv:1908.03265","author":"Liu Liyuan","year":"2019","unstructured":"Liyuan Liu , Haoming Jiang , Pengcheng He , Weizhu Chen , Xiaodong Liu , Jianfeng Gao , and Jiawei Han . 2019. On the variance of the adaptive learning rate and beyond arXiv preprint arXiv:1908.03265 ( 2019 ). Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, and Jiawei Han. 2019. On the variance of the adaptive learning rate and beyond arXiv preprint arXiv:1908.03265 (2019)."},{"key":"e_1_3_2_2_20_1","volume-title":"Adversarial multi-task learning for text classification. arXiv preprint arXiv:1704.05742","author":"Liu Pengfei","year":"2017","unstructured":"Pengfei Liu , Xipeng Qiu , and Xuanjing Huang . 2017. Adversarial multi-task learning for text classification. arXiv preprint arXiv:1704.05742 ( 2017 ). Pengfei Liu, Xipeng Qiu, and Xuanjing Huang. 2017. Adversarial multi-task learning for text classification. arXiv preprint arXiv:1704.05742 (2017)."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2736643"},{"key":"e_1_3_2_2_22_1","volume-title":"Proceedings of the 33rd International Business Information Management Association Conference. 9329--9339","author":"Tri Prabowo Muhamad Ridwan","unstructured":"Muhamad Ridwan Tri Prabowo , Siti Nuryanah , and Sardar M.N. Islam . 2019. The implementation of Benford's law testing method to detect fraud in customs audit . In Proceedings of the 33rd International Business Information Management Association Conference. 9329--9339 . Muhamad Ridwan Tri Prabowo, Siti Nuryanah, and Sardar M.N. Islam. 2019. The implementation of Benford's law testing method to detect fraud in customs audit. In Proceedings of the 33rd International Business Information Management Association Conference. 9329--9339."},{"key":"e_1_3_2_2_23_1","volume-title":"IEEE International Conference on Computing, Communication and Security. 133--137","author":"Regmi Ram Hari","unstructured":"Ram Hari Regmi and Arun K. Timalsina . 2018. Risk Management in customs using Deep Neural Network . In IEEE International Conference on Computing, Communication and Security. 133--137 . Ram Hari Regmi and Arun K. Timalsina. 2018. Risk Management in customs using Deep Neural Network. In IEEE International Conference on Computing, Communication and Security. 133--137."},{"key":"e_1_3_2_2_24_1","volume-title":"An overview of multi-task learning in deep neural networks. arXiv preprint arXiv:1706.05098","author":"Ruder Sebastian","year":"2017","unstructured":"Sebastian Ruder . 2017. An overview of multi-task learning in deep neural networks. arXiv preprint arXiv:1706.05098 ( 2017 ). Sebastian Ruder. 2017. An overview of multi-task learning in deep neural networks. arXiv preprint arXiv:1706.05098 (2017)."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.01.007"},{"key":"e_1_3_2_2_26_1","volume-title":"Customs fraud detection: Assessing the value of behavioural and high-cardinality data under the imbalanced learning issue. Pattern Analysis and Applications","author":"Vanhoeyveld Jellis","year":"2019","unstructured":"Jellis Vanhoeyveld , David Martens , and Bruno Peeters . 2019. Customs fraud detection: Assessing the value of behavioural and high-cardinality data under the imbalanced learning issue. Pattern Analysis and Applications ( 2019 ). Jellis Vanhoeyveld, David Martens, and Bruno Peeters. 2019. Customs fraud detection: Assessing the value of behavioural and high-cardinality data under the imbalanced learning issue. Pattern Analysis and Applications (2019)."},{"key":"e_1_3_2_2_27_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In NeurIPS. 5998--6008.  Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In NeurIPS. 5998--6008."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186066"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2015.09.005"},{"key":"e_1_3_2_2_30_1","unstructured":"Lei Xu Maria Skoularido Alfredo Cuesta-Infante and Kalyan Veeramachaneni. 2019. Modeling Tabular data using Conditional GAN. In NeurIPS.  Lei Xu Maria Skoularido Alfredo Cuesta-Infante and Kalyan Veeramachaneni. 2019. Modeling Tabular data using Conditional GAN. In NeurIPS."},{"key":"e_1_3_2_2_31_1","unstructured":"Michael Zhang James Lucas Jimmy Ba and Geoffrey E Hinton. 2019. Lookahead Optimizer: k steps forward 1 step back. In NeurIPS. 9593--9604.  Michael Zhang James Lucas Jimmy Ba and Geoffrey E Hinton. 2019. Lookahead Optimizer: k steps forward 1 step back. In NeurIPS. 9593--9604."},{"key":"e_1_3_2_2_32_1","article-title":"Data mining in customs risk detection with cost'sensitive classification","volume":"13","author":"Zhou Xin","year":"2019","unstructured":"Xin Zhou . 2019 . Data mining in customs risk detection with cost'sensitive classification . World Customs Journal , Vol. 13 (2019). Xin Zhou. 2019. Data mining in customs risk detection with cost'sensitive classification. World Customs Journal, Vol. 13 (2019).","journal-title":"World Customs Journal"}],"event":{"name":"KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Virtual Event CA USA","acronym":"KDD '20","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403339","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394486.3403339","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:49Z","timestamp":1750197709000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403339"}},"subtitle":["Dual Attentive Tree-aware Embedding for Customs Fraud Detection"],"short-title":[],"issued":{"date-parts":[[2020,8,20]]},"references-count":32,"alternative-id":["10.1145\/3394486.3403339","10.1145\/3394486"],"URL":"https:\/\/doi.org\/10.1145\/3394486.3403339","relation":{},"subject":[],"published":{"date-parts":[[2020,8,20]]},"assertion":[{"value":"2020-08-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}