{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T12:31:37Z","timestamp":1726057897861},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030325909"},{"type":"electronic","value":"9783030325916"}],"license":[{"start":{"date-parts":[[2019,11,7]],"date-time":"2019-11-07T00:00:00Z","timestamp":1573084800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-32591-6_34","type":"book-chapter","created":{"date-parts":[[2019,11,6]],"date-time":"2019-11-06T08:03:30Z","timestamp":1573027410000},"page":"321-328","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Two-Stage Discriminative Feature Selection"],"prefix":"10.1007","author":[{"given":"Xiaobin","family":"Zhi","sequence":"first","affiliation":[]},{"given":"Shaoru","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,11,7]]},"reference":[{"issue":"3","key":"34_CR1","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1145\/1961189.1961199","volume":"2","author":"C Chang","year":"2011","unstructured":"Chang, C., Lin, C.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2(3), 27 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"34_CR2","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.ins.2017.04.009","volume":"405","author":"DY Eroglu","year":"2017","unstructured":"Eroglu, D.Y., Kilic, K.: A novel Hybrid Genetic Local Search Algorithm for feature selection and weighting with an application in strategic decision making in innovation management. Inf. Sci. 405, 18\u201332 (2017)","journal-title":"Inf. Sci."},{"key":"34_CR3","unstructured":"He, X., Cai, D., Niyogi, P.: Laplacian score for feature selection. In: Proceedings of the 18th International Conference on Neural Information Processing Systems, NIPS 2005, pp. 507\u2013517 (2005)"},{"key":"34_CR4","unstructured":"Masaeli, M., Fung, G., Dy, J.G.: From transformation-based dimensionality reduction to feature selection. In: Proceedings of 27th International Conference on Machine Learning, ICML 2010, pp. 751\u2013758. Omnipress, Haifa, Israel (2010)"},{"key":"34_CR5","unstructured":"Nie, F., Xiang, S., Jia, Y., Zhang, C., Yan, S.: Trace ratio criterion for feature selection. In: Proceedings of 23rd AAAI 2008 Conference on Artificial Intelligence, vol. 2, pp. 671\u2013676. AAAI Press, Chicago, Illinois (2008)"},{"issue":"8","key":"34_CR6","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"H Peng","year":"2005","unstructured":"Peng, H., Long, F., Ding, C.: Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans. Pattern Anal. Mach. Intell. 27(8), 1226\u20131238 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1\u20132","key":"34_CR7","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1023\/A:1025667309714","volume":"53","author":"M Robnik-\u0160ikonja","year":"2003","unstructured":"Robnik-\u0160ikonja, M., Kononenko, I.: Theoretical and empirical analysis of ReliefF and RReliefF. Mach. Learn. 53(1\u20132), 23\u201369 (2003)","journal-title":"Mach. Learn."},{"issue":"7\u20138","key":"34_CR8","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1016\/j.ijmedinf.2005.05.002","volume":"74","author":"A Statnikov","year":"2005","unstructured":"Statnikov, A., Tsamardinos, I., Dosbayev, Y., Aliferis, C.F.: GEMS: a system for automated cancer diagnosis and biomarker discovery from microarray gene expression data. Int. J. Med. Inform. 74(7\u20138), 491\u2013503 (2005)","journal-title":"Int. J. Med. Inform."},{"issue":"4","key":"34_CR9","doi-asserted-by":"publisher","first-page":"796","DOI":"10.1109\/TNNLS.2015.2424721","volume":"27","author":"H Tao","year":"2016","unstructured":"Tao, H., Hou, C., Nie, F., Jiao, Y., Yi, D.: Effective discriminative feature selection with nontrivial solution. IEEE Trans. Neural Netw. Learn. Syst. 27(4), 796\u2013808 (2016)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"1","key":"34_CR10","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/TCBB.2007.1006","volume":"4","author":"L Wang","year":"2007","unstructured":"Wang, L., Chu, F., Xie, W.: Accurate cancer classification using expressions of very few genes. IEEE\/ACM Trans. Comput. Biol. Bioinform. 4(1), 40\u201353 (2007)","journal-title":"IEEE\/ACM Trans. Comput. Biol. Bioinform."},{"key":"34_CR11","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.ymeth.2016.08.014","volume":"111","author":"L Wang","year":"2016","unstructured":"Wang, L., Wang, Y., Chang, Q.: Feature selection methods for big data bioinformatics: a survey from the search perspective. Methods 111, 21\u201331 (2016)","journal-title":"Methods"},{"issue":"7","key":"34_CR12","doi-asserted-by":"publisher","first-page":"1267","DOI":"10.1109\/TNN.2008.2000395","volume":"19","author":"L Wang","year":"2008","unstructured":"Wang, L., Zhou, N., Chu, F.: A general wrapper approach to selection of class-dependent features. IEEE Trans. Neural Netw. 19(7), 1267\u20131278 (2008)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"4","key":"34_CR13","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1109\/TEVC.2015.2504420","volume":"20","author":"B Xue","year":"2016","unstructured":"Xue, B., Zhang, M., Browne, W.N., Yao, X.: A survey on evolutionary computation approaches to feature selection. IEEE Trans. Evol. Comput. 20(4), 606\u2013626 (2016)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"6","key":"34_CR14","doi-asserted-by":"publisher","first-page":"929","DOI":"10.1109\/TPAMI.2005.110","volume":"27","author":"J Ye","year":"2005","unstructured":"Ye, J., Li, Q.: A two-stage linear discriminant analysis via QR-decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 27(6), 929\u2013941 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"34_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neucom.2018.08.040","volume":"321","author":"M Zhao","year":"2018","unstructured":"Zhao, M., Lin, M., Chiu, B., Zhang, Z., Tang, X.: Trace ratio criterion based discriminative feature selection via \n                    \n                      \n                    \n                    $$l_{2, p}$$\n                  -norm regularization for supervised learning. Neurocomputing 321, 1\u201316 (2018)","journal-title":"Neurocomputing"}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32591-6_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,6]],"date-time":"2019-11-06T08:15:22Z","timestamp":1573028122000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-32591-6_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,7]]},"ISBN":["9783030325909","9783030325916"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32591-6_34","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019,11,7]]},"assertion":[{"value":"7 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICNC-FSKD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kunming","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icncfskd2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}