{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T21:17:00Z","timestamp":1726003020609},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811334405"},{"type":"electronic","value":"9789811334412"}],"license":[{"start":{"date-parts":[[2018,12,11]],"date-time":"2018-12-11T00:00:00Z","timestamp":1544486400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-981-13-3441-2_3","type":"book-chapter","created":{"date-parts":[[2018,12,10]],"date-time":"2018-12-10T14:12:43Z","timestamp":1544451163000},"page":"34-45","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Simulation Study of Feature Selection on Survival Least Square Support Vector Machines with Application to Health Data"],"prefix":"10.1007","author":[{"given":"Dedy Dwi","family":"Prastyo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Halwa Annisa","family":"Khoiri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Santi Wulan","family":"Purnami","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Suhartono","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Soo-Fen","family":"Fam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,12,11]]},"reference":[{"key":"3_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-6646-9","volume-title":"Survival Analysis: A Self-Learning Text","author":"DG Kleinbaum","year":"2012","unstructured":"Kleinbaum, D.G., Klein, M.: Survival Analysis: A Self-Learning Text, 3rd edn. Springer, London (2012). https:\/\/doi.org\/10.1007\/978-1-4419-6646-9","edition":"3"},{"issue":"6","key":"3_CR2","first-page":"381","volume":"7","author":"H Mahjub","year":"2016","unstructured":"Mahjub, H., Faradmal, J., Goli, S., Soltanian, A.R.: Performance evaluation of support vector regression models for survival analysis: a simulation study. IJACSA 7(6), 381\u2013389 (2016)","journal-title":"IJACSA"},{"key":"3_CR3","unstructured":"Van Belle, V., Pelckmans, K., Suykens, J.A., Van Huffel, S.: Support vector machines for survival analysis. In: Proceedings of the Third International Conference on Computational Intelligence in Medicine and Healthcare (CIMED), Plymouth (2007)"},{"key":"3_CR4","doi-asserted-by":"crossref","unstructured":"Boser, B.E., Guyon, I.M., Vapnik, V.N.: A training algorithm for optimal margin classifiers. In: Proceedings of the Fifth Annual Workshop on Computational Learning Theory, pp. 144\u2013152. ACM, Pittsburgh (1992)","DOI":"10.1145\/130385.130401"},{"issue":"3","key":"3_CR5","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1023\/B:STCO.0000035301.49549.88","volume":"14","author":"AJ Smola","year":"2004","unstructured":"Smola, A.J., Scholk\u00f6pf, B.: A tutorial on support vector regression, statistics and computing. Stat. Comput. 14(3), 192\u2013222 (2004)","journal-title":"Stat. Comput."},{"issue":"2","key":"3_CR6","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1002\/sim.3743","volume":"29","author":"V Belle Van","year":"2010","unstructured":"Van Belle, V., Pelckmans, K., Suykens, J.A., Van Huffel, S.: Additive survival least-squares support vector machines. Stat. Med. 29(2), 296\u2013308 (2010)","journal-title":"Stat. Med."},{"issue":"2","key":"3_CR7","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.artmed.2011.06.006","volume":"53","author":"V Belle Van","year":"2011","unstructured":"Van Belle, V., Pelckmans, K., Suykens, J.A., Van Huffel, S.: Support vector methods for survival analysis: a comparison between ranking and regression approaches. Artif. Intell. Med. 53(2), 107\u2013118 (2011)","journal-title":"Artif. Intell. Med."},{"issue":"3","key":"3_CR8","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"JA Suykens","year":"1999","unstructured":"Suykens, J.A., Vandewalle, J.: Least squares support vector machines classifiers. Neural Process. Lett. 9(3), 293\u2013300 (1999)","journal-title":"Neural Process. Lett."},{"key":"3_CR9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2016\/2157984","volume":"2016","author":"S Goli","year":"2016","unstructured":"Goli, S., Mahjub, H., Faradmal, J.: Survival prediction and feature selection in patients with breast cancer using support vector regression. Comput. Math. Methods Med. 2016, 1\u201312 (2016)","journal-title":"Comput. Math. Methods Med."},{"key":"3_CR10","doi-asserted-by":"crossref","unstructured":"Khotimah, C., Purnami, S.W., Prastyo, D.D., Chosuvivatwong, V., Spriplung, H.: Additive survival least square support vector machines: a simulation study and its application to cervical cancer prediction. In: Proceedings of the 13th IMT-GT International Conference on Mathematics, Statistics and their Applications (ICMSA), AIP Conference Proceedings 1905 (050024), Kedah (2017)","DOI":"10.1063\/1.5012243"},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Khotimah, C., Purnami, S.W., Prastyo, D.D.: Additive survival least square support vector machines and feature selection on health data in Indonesia. In: Proceedings of the International Conference on Information and Communications Technology (ICOIACT), IEEE Xplore (2018)","DOI":"10.1109\/ICOIACT.2018.8350737"},{"key":"3_CR12","first-page":"346","volume-title":"The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics","author":"WK Haerdle","year":"2014","unstructured":"Haerdle, W.K., Prastyo, D.D., Hafner, C.M.: Support vector machines with evolutionary model selection for default prediction. In: Racine, J., Su, L., Ullah, A. (eds.) The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics, pp. 346\u2013373. Oxford University Press, New York (2014)"},{"issue":"1","key":"3_CR13","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.compeleceng.2013.11.024","volume":"4","author":"G Chandrashekar","year":"2014","unstructured":"Chandrashekar, G., Sahin, F.: A survey on feature selection methods. Comput. Electr. Eng. 4(1), 16\u201328 (2014)","journal-title":"Comput. Electr. Eng."},{"issue":"3","key":"3_CR14","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1177\/0013164405278584","volume":"66","author":"G Shieh","year":"2006","unstructured":"Shieh, G.: Suppression situations in multiple linear regression. Educ. Psychol. Meas. 66(3), 435\u2013447 (2006)","journal-title":"Educ. Psychol. Meas."},{"issue":"11","key":"3_CR15","doi-asserted-by":"crossref","first-page":"1713","DOI":"10.1002\/sim.2059","volume":"24","author":"R Bender","year":"2005","unstructured":"Bender, R., Augustin, T., Blettner, M.: Generating survival times to simulate Cox proportional hazards models. Stat. Med. 24(11), 1713\u20131723 (2005)","journal-title":"Stat. Med."},{"key":"3_CR16","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/B978-0-12-800982-6.00007-X","volume-title":"Handbook of Asian Finance: Financial Market and Sovereign Wealth Fund","author":"WK Haerdle","year":"2014","unstructured":"Haerdle, W.K., Prastyo, D.D.: Embedded predictor selection for default risk calculation: a Southeast Asian industry study. In: Chuen, D.L.K., Gregoriou, G.N. (eds.) Handbook of Asian Finance: Financial Market and Sovereign Wealth Fund, vol. 1, pp. 131\u2013148. Academic Press, San Diego (2014)"},{"key":"3_CR17","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/978-981-10-7242-0_8","volume-title":"Soft Computing and Data Science 2017","author":"Suhartono","year":"2017","unstructured":"Suhartono, Saputri, P.D., Amalia, F.F., Prastyo, D.D., Ulama, B.S.S.: Model selection in feedforward neural networks for forecasting inflow and outflow in Indonesia. In: Mohamed, A., Berry, M., Yap, B. (eds.) Soft Computing and Data Science 2017. Communications in Computer and Information Science, vol. 788, pp. 95\u2013105. Springer, Singapore (2017). https:\/\/doi.org\/10.1007\/978-981-10-7242-0_8"}],"container-title":["Communications in Computer and Information Science","Soft Computing in Data Science"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-13-3441-2_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T06:21:32Z","timestamp":1605594092000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-13-3441-2_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,11]]},"ISBN":["9789811334405","9789811334412"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-13-3441-2_3","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2018,12,11]]},"assertion":[{"value":"SCDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Soft Computing in Data Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bangkok","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 August 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 August 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"scds2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aaec.uitm.edu.my\/scds2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}