{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T01:56:52Z","timestamp":1729648612487,"version":"3.28.0"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"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":[[2020,12,10]]},"DOI":"10.1109\/bigdata50022.2020.9378417","type":"proceedings-article","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T21:10:21Z","timestamp":1616188221000},"page":"1736-1744","source":"Crossref","is-referenced-by-count":2,"title":["Merchant Category Identification Using Credit Card Transactions"],"prefix":"10.1109","author":[{"given":"Chin-Chia","family":"Michael Yeh","sequence":"first","affiliation":[]},{"given":"Zhongfang","family":"Zhuang","sequence":"additional","affiliation":[]},{"given":"Yan","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Liang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Junpeng","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref33","doi-asserted-by":"crossref","DOI":"10.1109\/ICDMW51313.2020.00086","article-title":"Towards a flexible embedding learning framework","author":"yeh","year":"2020"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref31","first-page":"917","article-title":"Deep learning for time series classification: a review","volume":"33","author":"fawaz","year":"2019","journal-title":"DMKD"},{"article-title":"Multi-stream rnn for merchant transaction prediction","year":"2020","author":"zhuang","key":"ref30"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.03.022"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807452"},{"key":"ref10","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"NeurIPS"},{"article-title":"Semi-supervised classification with graph convolutional networks","year":"2016","author":"kipf","key":"ref40"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289565"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"},{"year":"2020","key":"ref14","article-title":"State of retail"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-016-0483-9"},{"article-title":"The ucr time series classification archive","year":"2018","author":"dau","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-014-0361-2"},{"key":"ref18","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NeurIPS"},{"key":"ref19","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"NeurIPS"},{"key":"ref28","first-page":"120","article-title":"Towards a universal neural network encoder for time series","author":"serr\u00e0","year":"2018","journal-title":"CCIA"},{"article-title":"A disciplined approach to neural network hyper-parameters: Part 1–learning rate, batch size, momentum, and weight decay","year":"2018","author":"smith","key":"ref4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.21629\/JSEE.2017.01.18"},{"year":"2020","key":"ref3","article-title":"Apache Hive ™"},{"key":"ref6","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"NeurIPS"},{"article-title":"Multi-future merchant transaction prediction","year":"2020","author":"yeh","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1117\/12.2520589"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"article-title":"tslearn: A machine learning toolkit dedicated to time-series data","year":"2017","author":"tavenard","key":"ref7"},{"article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","year":"2018","author":"bai","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-4012"},{"key":"ref1","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"NeurIPS"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"article-title":"Multi-scale convolutional neural networks for time series classification","year":"2016","author":"cui","key":"ref22"},{"article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","year":"2018","author":"devlin","key":"ref21"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2016.0149"},{"article-title":"Data augmentation for time series classification using convolutional neural networks","year":"2016","author":"le guennec","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966039"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-015-4478-2"}],"event":{"name":"2020 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2020,12,10]]},"location":"Atlanta, GA, USA","end":{"date-parts":[[2020,12,13]]}},"container-title":["2020 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9377717\/9377728\/09378417.pdf?arnumber=9378417","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,22]],"date-time":"2022-12-22T00:55:54Z","timestamp":1671670554000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9378417\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,10]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/bigdata50022.2020.9378417","relation":{},"subject":[],"published":{"date-parts":[[2020,12,10]]}}}