{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:17:46Z","timestamp":1750220266565,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,2,26]],"date-time":"2022-02-26T00:00:00Z","timestamp":1645833600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,2,26]]},"DOI":"10.1145\/3524383.3533249","type":"proceedings-article","created":{"date-parts":[[2022,7,26]],"date-time":"2022-07-26T23:26:41Z","timestamp":1658878001000},"page":"461-465","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Accurately Identify Poor Students under Big Data"],"prefix":"10.1145","author":[{"given":"Yan","family":"Wang","sequence":"first","affiliation":[{"name":"School of management, Xi'an Eurasia University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Yang","sequence":"additional","affiliation":[{"name":"School of management, Xi'an Eurasia University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junli","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Finance, Xi'an Eurasia University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,7,26]]},"reference":[{"issue":"006","key":"e_1_3_2_1_1_1","first-page":"2017","article-title":"Actively use big data to innovate government decision-making methods","author":"Lv H.","year":"2017","unstructured":"Lv H. 2017 Actively use big data to innovate government decision-making methods . Learning Times , no. 006 , 2017 - 2003 -13. Lv H. 2017 Actively use big data to innovate government decision-making methods. Learning Times, no. 006, 2017-03-13.","journal-title":"Learning Times"},{"key":"e_1_3_2_1_2_1","article-title":"Research on the optimization of local government decision-making system in the era of big data","author":"Tang Z Y","year":"2017","unstructured":"Tang Z Y . 2017 Research on the optimization of local government decision-making system in the era of big data . Journal of Hunan University of Finance and Economics, no. 4. Tang Z Y. 2017 Research on the optimization of local government decision-making system in the era of big data. Journal of Hunan University of Finance and Economics, no. 4.","journal-title":"Journal of Hunan University of Finance and Economics, no. 4."},{"volume-title":"2017 Research on the Application of Data Mining Technology in Campus Card System. International Conference on Smart City and Systems Engineering.","author":"Su D","key":"e_1_3_2_1_3_1","unstructured":"Su D , Liu X , Jiang T , 2017 Research on the Application of Data Mining Technology in Campus Card System. International Conference on Smart City and Systems Engineering. Su D, Liu X, Jiang T, 2017 Research on the Application of Data Mining Technology in Campus Card System. International Conference on Smart City and Systems Engineering."},{"volume-title":"2018 Predicting Achievement of Students in Smart Campus","author":"Qu S","key":"e_1_3_2_1_4_1","unstructured":"Qu S , Li K , Zhang S , 2018 Predicting Achievement of Students in Smart Campus . IEEE Access . Qu S, Li K, Zhang S, 2018 Predicting Achievement of Students in Smart Campus. IEEE Access."},{"volume-title":"2017 Analysis and Data Mining of Students Cons umption Behavior Based on a Campus Card System","author":"Jiang T","key":"e_1_3_2_1_5_1","unstructured":"Jiang T , Cao J , Su D , 2017 Analysis and Data Mining of Students Cons umption Behavior Based on a Campus Card System . IEEE Computer Society . Jiang T, Cao J, Su D, 2017 Analysis and Data Mining of Students Cons umption Behavior Based on a Campus Card System. IEEE Computer Society."},{"issue":"2","key":"e_1_3_2_1_6_1","first-page":"197","article-title":"Research on the construction of college precise funding model in the perspective of big data","volume":"24","author":"Luo L L","year":"2018","unstructured":"Luo L L . 2018 Research on the construction of college precise funding model in the perspective of big data . Journal of Chongqing University (Social Science Edition) , vol. 24 , no. 2 , pp. 197 - 204 . Luo L L. 2018 Research on the construction of college precise funding model in the perspective of big data. Journal of Chongqing University (Social Science Edition), vol. 24, no. 2, pp. 197-204.","journal-title":"Journal of Chongqing University (Social Science Edition)"},{"issue":"1","key":"e_1_3_2_1_7_1","first-page":"70","article-title":"Reconstruction of the identification system for poor students in universities","volume":"37","author":"Mu Y","year":"2017","unstructured":"Mu Y , Zhang Y F . 2017 Reconstruction of the identification system for poor students in universities . Journal of Northwestern Polytechnical University (Social Science Edition) , vol. 37 , no. 1 , pp. 70 - 73 . Mu Y, Zhang Y F. 2017 Reconstruction of the identification system for poor students in universities. Journal of Northwestern Polytechnical University (Social Science Edition), vol. 37, no. 1, pp. 70-73.","journal-title":"Journal of Northwestern Polytechnical University (Social Science Edition)"},{"key":"e_1_3_2_1_8_1","first-page":"9","article-title":"Research on the evaluation method of student economic status based on campus card","volume":"48","author":"Song D C","year":"2009","unstructured":"Song D C . 2009 Research on the evaluation method of student economic status based on campus card . Journal of Sun Yat-sen University (Natural Science Edition) , vol. 48 , no. S1, pp. 9 - 11 . Song D C. 2009 Research on the evaluation method of student economic status based on campus card. Journal of Sun Yat-sen University (Natural Science Edition), vol. 48, no. S1, pp. 9-11.","journal-title":"Journal of Sun Yat-sen University (Natural Science Edition)"},{"key":"e_1_3_2_1_9_1","first-page":"63","article-title":"A review of research on campus all-in-one card data analysis and application","author":"He X Q","year":"2017","unstructured":"He X Q . 2017 A review of research on campus all-in-one card data analysis and application . Journal of Central China Normal University (Self Science Edition) no. s1 , pp. 63 - 65 . He X Q. 2017 A review of research on campus all-in-one card data analysis and application. Journal of Central China Normal University (Self Science Edition) no. s1, pp. 63-65.","journal-title":"Journal of Central China Normal University (Self Science Edition) no. s1"},{"issue":"5","key":"e_1_3_2_1_10_1","first-page":"150","article-title":"Constructing a mathematical model for the identification of poor students in universities and its applications","volume":"31","author":"Duan X M","year":"2015","unstructured":"Duan X M , Hu M Y , Zhong J N . 2015 Constructing a mathematical model for the identification of poor students in universities and its applications . Journal of Jilin Education College , vol. 31 , no. 5 , pp. 150 - 151 . Duan X M, Hu M Y, Zhong J N. 2015 Constructing a mathematical model for the identification of poor students in universities and its applications. Journal of Jilin Education College, vol. 31, no. 5, pp. 150-151.","journal-title":"Journal of Jilin Education College"},{"issue":"12","key":"e_1_3_2_1_11_1","first-page":"134","article-title":"Design of auxiliary system for identification of poor students based on data mining","volume":"14","author":"Fan B","year":"2015","unstructured":"Fan B , Jiang Y G . 2015 Design of auxiliary system for identification of poor students based on data mining . Software Guide , vol. 14 , no. 12 , pp. 134 - 135 . Fan B, Jiang Y G. 2015 Design of auxiliary system for identification of poor students based on data mining. Software Guide, vol. 14, no. 12, pp. 134-135.","journal-title":"Software Guide"},{"issue":"03","key":"e_1_3_2_1_12_1","first-page":"27","article-title":"The application of C4.5 decision tree method in the identification of poor students in colleges and universities","volume":"21","author":"Ma W J","year":"2012","unstructured":"Ma W J . 2012 The application of C4.5 decision tree method in the identification of poor students in colleges and universities . Journal of Henan Institute of Education (Natural Science Edition) vol. 21 , no. 03 , pp. 27 - 30 . Ma W J. 2012 The application of C4.5 decision tree method in the identification of poor students in colleges and universities. Journal of Henan Institute of Education (Natural Science Edition) vol. 21, no. 03, pp. 27-30.","journal-title":"Journal of Henan Institute of Education (Natural Science Edition)"},{"issue":"02","key":"e_1_3_2_1_13_1","first-page":"161","article-title":"Summary of feature selection methods","volume":"27","author":"Yao X","year":"2012","unstructured":"Yao X , Wang X D , Zhang Y X , Quan W. 2012 Summary of feature selection methods . Control and Decision , vol. 27 , no. 02 , pp. 161 - 166 +192. Yao X, Wang X D, Zhang Y X, Quan W. 2012 Summary of feature selection methods. Control and Decision, vol. 27, no. 02, pp. 161-166+192.","journal-title":"Control and Decision"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2015.45"},{"key":"e_1_3_2_1_15_1","unstructured":"Krishnapuram B Hartemink A Carin L. 2002 Applying Logistic Regression and Rvm to Achieve Accurate Probabilistic Cancer Diagnosis from Gene Expression Profiles.  Krishnapuram B Hartemink A Carin L. 2002 Applying Logistic Regression and Rvm to Achieve Accurate Probabilistic Cancer Diagnosis from Gene Expression Profiles."},{"key":"e_1_3_2_1_16_1","volume-title":"AdaBoost and Bregman Distances.Thirteenth Conference on Computational Learning Theory.","author":"Collins M","year":"2000","unstructured":"Collins M , Schapire R E , Singer Y. 2000 Logistic Regression , AdaBoost and Bregman Distances.Thirteenth Conference on Computational Learning Theory. Collins M, Schapire R E, Singer Y. 2000 Logistic Regression, AdaBoost and Bregman Distances.Thirteenth Conference on Computational Learning Theory."},{"key":"e_1_3_2_1_17_1","volume-title":"IEEE International Conference on Robotics & Automation.","author":"Mart\u00ednez Mozos C","year":"2005","unstructured":"Mart\u00ednez Mozos , Stachniss C , Burgard W. 2005 Supervised Learning of Places from Range Data using Adaboost . IEEE International Conference on Robotics & Automation. Mart\u00ednez Mozos, Stachniss C, Burgard W. 2005 Supervised Learning of Places from Range Data using Adaboost. IEEE International Conference on Robotics & Automation."}],"event":{"name":"ICBDE'22: The 2022 5th International Conference on Big Data and Education","acronym":"ICBDE'22","location":"Shanghai China"},"container-title":["Proceedings of the 5th International Conference on Big Data and Education"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3524383.3533249","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3524383.3533249","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:59Z","timestamp":1750188659000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3524383.3533249"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,26]]},"references-count":17,"alternative-id":["10.1145\/3524383.3533249","10.1145\/3524383"],"URL":"https:\/\/doi.org\/10.1145\/3524383.3533249","relation":{},"subject":[],"published":{"date-parts":[[2022,2,26]]},"assertion":[{"value":"2022-07-26","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}