{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T22:14:12Z","timestamp":1757456052440,"version":"3.28.0"},"reference-count":13,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"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":[[2019,12]]},"DOI":"10.1109\/ssci44817.2019.9003152","type":"proceedings-article","created":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T02:49:24Z","timestamp":1582253364000},"page":"2954-2958","source":"Crossref","is-referenced-by-count":1,"title":["Modeling Graduates\u2019 High Quality Employment Based on Support Vector Machine"],"prefix":"10.1109","author":[{"given":"Hong","family":"Gong","sequence":"first","affiliation":[]},{"given":"Yang","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Haonan","family":"Li","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"80","article-title":"Research on Credit Rating of Corporate Debt Based on Random Forest-Support Vector Machine","author":"chen","year":"2016","journal-title":"Financial Theory & Practice"},{"key":"ref11","first-page":"18","article-title":"An Empirical Study on the Influence Mechanism of Dissertation Training on the Employment Ability of Professional Degree Graduates[J]","volume":"5","author":"jibao","year":"2015","journal-title":"Degree and Postgraduate Education"},{"key":"ref12","first-page":"68","article-title":"Human Capital or Identity Symbol: An Empirical Study on the Factors Affecting the Quality of Graduate Employment Matching","volume":"40","author":"zhang","year":"2019","journal-title":"Journal of Higher Education"},{"key":"ref13","first-page":"1822","article-title":"An Empirical Study on the Influence Mechanism of Dissertation Training on the Employment Ability of Professional Degree Graduates","author":"gu","year":"2015","journal-title":"Academic Degrees & Graduate Education"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1108\/IMDS-09-2015-0363"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2013.05.003"},{"key":"ref6","first-page":"166","article-title":"Application Research on Employment Forecast of Graduates of Traditional Chinese Medicine Based on C4. 5 and Random Forest Algorithm","volume":"14","author":"tang","year":"2017","journal-title":"Chinese medical Herald"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compedu.2013.01.015"},{"key":"ref8","first-page":"180","article-title":"Using machine learning to predict student difficulties from learning session data","volume":"30","author":"hussain","year":"2018","journal-title":"Artificial Intelligence Review"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1111\/exsy.12142"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2014.42"},{"key":"ref1","first-page":"1383","article-title":"Research on Distributed Improvement of Random Forest Student Employment Data Classification Model Based on Map Reduce","volume":"37","author":"qiao","year":"2017","journal-title":"Systems Engineering-theory & Practice"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1109\/TLT.2019.2911070","article-title":"Predicting the Risk of Academic Dropout With Temporal Multi-Objective Optimization","volume":"12","author":"fernando","year":"2019","journal-title":"IEEE Transactions on Learning Technologies"}],"event":{"name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","start":{"date-parts":[[2019,12,6]]},"location":"Xiamen, China","end":{"date-parts":[[2019,12,9]]}},"container-title":["2019 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8975711\/9002648\/09003152.pdf?arnumber=9003152","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T17:49:59Z","timestamp":1658080199000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9003152\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":13,"URL":"https:\/\/doi.org\/10.1109\/ssci44817.2019.9003152","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}