{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T10:54:19Z","timestamp":1761562459364,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030050894"},{"type":"electronic","value":"9783030050900"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-05090-0_5","type":"book-chapter","created":{"date-parts":[[2018,12,28]],"date-time":"2018-12-28T13:24:32Z","timestamp":1546003472000},"page":"55-65","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A Novel Feature Selection-Based Sequential Ensemble Learning Method for Class Noise Detection in High-Dimensional Data"],"prefix":"10.1007","author":[{"given":"Kai","family":"Chen","sequence":"first","affiliation":[]},{"given":"Donghai","family":"Guan","sequence":"additional","affiliation":[]},{"given":"Weiwei","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Bohan","family":"Li","sequence":"additional","affiliation":[]},{"given":"Asad Masood","family":"Khattak","sequence":"additional","affiliation":[]},{"given":"Omar","family":"Alfandi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,12,29]]},"reference":[{"key":"5_CR1","unstructured":"Angelova, A., Abu-Mostafam, Y., Perona, P.: Pruning training sets for learning of object categories. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, vol. 1, pp. 494\u2013501. IEEE (2005)"},{"key":"5_CR2","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1613\/jair.606","volume":"11","author":"CE Brodley","year":"1999","unstructured":"Brodley, C.E., Friedl, M.A.: Identifying mislabeled training data. J. Artif. Intell. Res. 11, 131\u2013167 (1999)","journal-title":"J. Artif. Intell. Res."},{"key":"5_CR3","unstructured":"Dheeru, D., Karra Taniskidou, E.: UCI machine learning repository (2017)"},{"key":"5_CR4","doi-asserted-by":"crossref","unstructured":"Folleco, A., Khoshgoftaar, T.M., Van Hulse, J., Bullard, L.: Identifying learners robust to low quality data. In: 2008 IEEE International Conference on Information Reuse and Integration, IRI 2008, pp. 190\u2013195. IEEE (2008)","DOI":"10.1109\/IRI.2008.4583028"},{"issue":"5","key":"5_CR5","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1109\/TNNLS.2013.2292894","volume":"25","author":"B Fr\u00e9nay","year":"2014","unstructured":"Fr\u00e9nay, B., Verleysen, M.: Classification in the presence of label noise: a survey. IEEE Trans. Neural Netw. Learn. Syst. 25(5), 845\u2013869 (2014)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"5_CR6","unstructured":"Gamberger, D., Lavrac, N., Groselj, C.: Experiments with noise filtering in a medical domain. In: ICML, pp. 143\u2013151 (1999)"},{"key":"5_CR7","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1023\/A:1012487302797","volume":"46","author":"I Guyon","year":"2002","unstructured":"Guyon, I., Weston, J., Barnhill, S., Vapnik, V.: Gene selection for cancer classification using support vector machines. Mach. Learn. 46, 389\u2013422 (2002)","journal-title":"Mach. Learn."},{"issue":"3","key":"5_CR8","doi-asserted-by":"publisher","first-page":"297","DOI":"10.20965\/jaciii.2010.p0297","volume":"14","author":"P Jeatrakul","year":"2010","unstructured":"Jeatrakul, P., Wong, K.W., Fung, C.C.: Data cleaning for classification using misclassification analysis. J. Adv. Comput. Intell. Intell. Inf. 14(3), 297\u2013302 (2010)","journal-title":"J. Adv. Comput. Intell. Intell. Inf."},{"key":"5_CR9","unstructured":"Khoshgoftaar, T.M., Rebours, P.: Generating multiple noise elimination filters with the ensemble-partitioning filter. In: 2004 Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI 2004, pp. 369\u2013375. IEEE (2004)"},{"issue":"3","key":"5_CR10","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1007\/s11390-007-9054-2","volume":"22","author":"TM Khoshgoftaar","year":"2007","unstructured":"Khoshgoftaar, T.M., Rebours, P.: Improving software quality prediction by noise filtering techniques. J. Comput. Sci. Technol. 22(3), 387\u2013396 (2007)","journal-title":"J. Comput. Sci. Technol."},{"key":"5_CR11","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1007\/978-3-642-02319-4_50","volume-title":"Hybrid Artificial Intelligence Systems","author":"ALB Miranda","year":"2009","unstructured":"Miranda, A.L.B., Garcia, L.P.F., Carvalho, A.C.P.L.F., Lorena, A.C.: Use of classification algorithms in noise detection and elimination. In: Corchado, E., Wu, X., Oja, E., Herrero, \u00c1., Baruque, B. (eds.) HAIS 2009. LNCS (LNAI), vol. 5572, pp. 417\u2013424. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-02319-4_50"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Pang, G., Cao, L., Chen, L., Lian, D., Liu, H.: Sparse modeling-based sequential ensemble learning for effective outlier detection in high-dimensional numeric data (2018)","DOI":"10.1609\/aaai.v32i1.11692"},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Pechenizkiy, M., Tsymbal, A., Puuronen, S., Pechenizkiy, O.: Class noise and supervised learning in medical domains: the effect of feature extraction. In: 2006 19th IEEE International Symposium on CBMS 2006 Computer-Based Medical Systems, pp. 708\u2013713. IEEE (2006)","DOI":"10.1109\/CBMS.2006.65"},{"key":"5_CR14","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.inffus.2015.04.002","volume":"27","author":"JA S\u00e1ez","year":"2016","unstructured":"S\u00e1ez, J.A., Galar, M., Luengo, J., Herrera, F.: INFFC: an iterative class noise filter based on the fusion of classifiers with noise sensitivity control. Inf. Fusion 27, 19\u201332 (2016)","journal-title":"Inf. Fusion"},{"issue":"6","key":"5_CR15","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1016\/S0167-8655(97)00035-4","volume":"18","author":"JS S\u00e1nchez","year":"1997","unstructured":"S\u00e1nchez, J.S., Pla, F., Ferri, F.J.: Prototype selection for the nearest neighbour rule through proximity graphs. Pattern Recogn. Lett. 18(6), 507\u2013513 (1997)","journal-title":"Pattern Recogn. Lett."},{"key":"5_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1007\/11552253_41","volume-title":"Advances in Intelligent Data Analysis VI","author":"CM Teng","year":"2005","unstructured":"Teng, C.M.: Dealing with data corruption in remote sensing. In: Famili, A.F., Kok, J.N., Pe\u00f1a, J.M., Siebes, A., Feelders, A. (eds.) IDA 2005. LNCS, vol. 3646, pp. 452\u2013463. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11552253_41"},{"key":"5_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/978-3-540-89376-9_10","volume-title":"Advanced Web and Network Technologies, and Applications","author":"J Thongkam","year":"2008","unstructured":"Thongkam, J., Xu, G., Zhang, Y., Huang, F.: Support vector machine for outlier detection in breast cancer survivability prediction. In: Ishikawa, Y., et al. (eds.) APWeb 2008. LNCS, vol. 4977, pp. 99\u2013109. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-89376-9_10"},{"key":"5_CR18","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1109\/TSMC.1972.4309137","volume":"3","author":"DL Wilson","year":"1972","unstructured":"Wilson, D.L.: Asymptotic properties of nearest neighbor rules using edited data. IEEE Trans. Syst. Man Cybern. 3, 408\u2013421 (1972)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"issue":"3","key":"5_CR19","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1023\/A:1007626913721","volume":"38","author":"DR Wilson","year":"2000","unstructured":"Wilson, D.R., Martinez, T.R.: Reduction techniques for instance-based learning algorithms. Mach. Learn. 38(3), 257\u2013286 (2000)","journal-title":"Mach. Learn."},{"key":"5_CR20","doi-asserted-by":"crossref","unstructured":"Yue, L., Chen, W., Li, X., Zuo, W., Yin, M.: A survey of sentiment analysis in social media. Knowl. Inf. Syst. 1\u201347 (2018)","DOI":"10.1007\/s10115-018-1236-4"}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-05090-0_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T15:37:00Z","timestamp":1709825820000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-05090-0_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030050894","9783030050900"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-05090-0_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"29 December 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADMA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Data Mining and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanjing","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":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adma2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/adma2018.nuaa.edu.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}