{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:47:17Z","timestamp":1742964437017,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030791995"},{"type":"electronic","value":"9783030792008"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-79200-8_140","type":"book-chapter","created":{"date-parts":[[2021,6,23]],"date-time":"2021-06-23T18:04:06Z","timestamp":1624471446000},"page":"952-959","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Employment Environment for Overseas Students Based on Big Data"],"prefix":"10.1007","author":[{"given":"Jian","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,6,24]]},"reference":[{"issue":"1","key":"140_CR1","doi-asserted-by":"publisher","first-page":"1212","DOI":"10.2174\/1874110X01509011212","volume":"9","author":"M Zhang","year":"2015","unstructured":"Zhang, M.: Application and research of improved AHP model in employment of college students. Open Cybern. Syst. J. 9(1), 1212\u20131217 (2015)","journal-title":"Open Cybern. Syst. J."},{"issue":"5","key":"140_CR2","first-page":"497","volume":"26","author":"JE Choi","year":"2019","unstructured":"Choi, J.E., Shin, D.W.: The roles of differencing and dimension reduction in machine learning forecasting of employment level using the FRED big data. Commun. Stat. Appl. Methods 26(5), 497\u2013506 (2019)","journal-title":"Commun. Stat. Appl. Methods"},{"issue":"2","key":"140_CR3","first-page":"49","volume":"5","author":"Y Sunhee","year":"2017","unstructured":"Sunhee, Y.: A study on the strategy for improvement of employment rate of using big data. Soc. Convergence Knowl. Trans. 5(2), 49\u201356 (2017)","journal-title":"Soc. Convergence Knowl. Trans."},{"issue":"26","key":"140_CR4","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.neucom.2015.08.112","volume":"195","author":"Z Deng","year":"2016","unstructured":"Deng, Z., Zhu, X., Cheng, D., Zong, M., Zhang, S.: Efficient kNN classification algorithm for big data. Neurocomputing 195(26), 143\u2013148 (2016)","journal-title":"Neurocomputing"},{"issue":"6","key":"140_CR5","doi-asserted-by":"publisher","first-page":"2337","DOI":"10.1109\/TNNLS.2017.2654357","volume":"29","author":"M Duan","year":"2018","unstructured":"Duan, M., Li, K., Liao, X., Li, K.: A parallel multiclassification algorithm for big data using an extreme learning machine. IEEE Trans. Neural Netw. Learn. Syst. 29(6), 2337\u20132351 (2018)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"1","key":"140_CR6","doi-asserted-by":"publisher","first-page":"35","DOI":"10.11001\/jksww.2020.34.1.035","volume":"34","author":"J Park","year":"2020","unstructured":"Park, J., Lee, H.: Prediction of high turbidity in rivers using LSTM algorithm. J. Korean Soc. Water Wastew. 34(1), 35\u201343 (2020)","journal-title":"J. Korean Soc. Water Wastew."},{"issue":"2","key":"140_CR7","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1108\/IJICC-11-2018-0152","volume":"12","author":"H Shi","year":"2019","unstructured":"Shi, H., Hu, S., Zhang, J.: LSTM based prediction algorithm and abnormal change detection for temperature in aerospace gyroscope shell. Int. J. Intell. Comput. Cybernet. 12(2), 274\u2013291 (2019)","journal-title":"Int. J. Intell. Comput. Cybernet."},{"issue":"24","key":"140_CR8","doi-asserted-by":"publisher","first-page":"2813","DOI":"10.1002\/(SICI)1097-0258(19971230)16:24<2813::AID-SIM701>3.0.CO;2-Z","volume":"16","author":"M Schumacher","year":"2015","unstructured":"Schumacher, M., Holl Nder, N., Sauerbrei, W.: Resampling and cross-validation techniques: a tool to reduce bias caused by model building. Stat. Med. 16(24), 2813\u20132827 (2015)","journal-title":"Stat. Med."},{"issue":"5","key":"140_CR9","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1002\/(SICI)1099-128X(199909\/10)13:5<491::AID-CEM537>3.0.CO;2-2","volume":"13","author":"DJ Louwerse","year":"2015","unstructured":"Louwerse, D.J., Smilde, A.K., Kiers, H.A.L.: Cross-validation of multiway component models. J. Chemom. 13(5), 491\u2013510 (2015)","journal-title":"J. Chemom."},{"issue":"3","key":"140_CR10","first-page":"264","volume":"18","author":"D Rahmalia","year":"2019","unstructured":"Rahmalia, D., Rohmatullah, A., Pradana, M.S.: Estimasi parameter super pairwise alignment pada Kombinasi Virus Dengue Menggunakan particle swarm optimization. TechnoCom 18(3), 264\u2013274 (2019)","journal-title":"TechnoCom"}],"container-title":["Advances in Intelligent Systems and Computing","2021 International Conference on Applications and Techniques in Cyber Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-79200-8_140","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,23]],"date-time":"2021-06-23T18:48:53Z","timestamp":1624474133000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-79200-8_140"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030791995","9783030792008"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-79200-8_140","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"24 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ATCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Applications and Techniques in Cyber Security and Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Fuyang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"atci2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/atci2021.fynu.edu.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}