{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T05:16:33Z","timestamp":1743052593229,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319993676"},{"type":"electronic","value":"9783319993683"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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\/978-3-319-99368-3_15","type":"book-chapter","created":{"date-parts":[[2018,8,14]],"date-time":"2018-08-14T08:44:41Z","timestamp":1534236281000},"page":"187-201","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["NDER Attribute Reduction via an Ensemble Approach"],"prefix":"10.1007","author":[{"given":"Huixiang","family":"Wen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Appiahmantey","family":"Eric","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangjian","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keyu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pingxin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,15]]},"reference":[{"key":"15_CR1","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.knosys.2016.08.009","volume":"111","author":"CZ Wang","year":"2016","unstructured":"Wang, C.Z., Shao, M.W., He, Q., Qian, Y.H., Qi, Y.L.: Feature subset selection based on fuzzy neighborhood rough sets. Knowl. Based Sys. 111, 173\u2013179 (2016)","journal-title":"Knowl. Based Sys."},{"key":"15_CR2","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1080\/03081079008935107","volume":"17","author":"D Dubois","year":"1990","unstructured":"Dubois, D., Prade, H.: Rough fuzzy sets and fuzzy rough sets. Int. J. Gener. Syst. 17, 191\u2013209 (1990)","journal-title":"Int. J. Gener. Syst."},{"key":"15_CR3","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.knosys.2015.09.011","volume":"91","author":"HL Dou","year":"2016","unstructured":"Dou, H.L., Yang, X.B., Song, X.N., Yu, H.L., Wu, W.Z.: Decision-theoretic rough set: a multicost strategy. Knowl. Based Syst. 91, 71\u201383 (2016)","journal-title":"Knowl. Based Syst."},{"key":"15_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1613\/jair.346","volume":"6","author":"DR Wilson","year":"1997","unstructured":"Wilson, D.R., Martinez, T.R.: Improved heterogeneous distance functions. J. Artif. Intell. Res. 6, 1\u201334 (1997)","journal-title":"J. Artif. Intell. Res."},{"key":"15_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13042-014-0232-6","volume":"7","author":"ECC Tsang","year":"2016","unstructured":"Tsang, E.C.C., Hu, Q.H., Chen, D.G.: Feature and instance reduction for PNN classifiers based on fuzzy rough sets. Int. J. Mach. Learn. Cybern. 7, 1\u201311 (2016)","journal-title":"Int. J. Mach. Learn. Cybern."},{"key":"15_CR6","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1016\/j.ins.2003.07.004","volume":"159","author":"JS Mi","year":"2004","unstructured":"Mi, J.S., Wu, W.Z., Zhang, W.X.: Approaches to knowledge reduction based on variable precision rough set model. Inf. Sci. 159, 255\u2013272 (2004)","journal-title":"Inf. Sci."},{"key":"15_CR7","first-page":"19","volume":"254","author":"JY Li","year":"2017","unstructured":"Li, J.Y., Fong, S., Wong, R.K., Millham, R., Wong, K.K.L.: Elitist binary wolf search algorithm for heuristic feature selection in high-dimensional bioinformatics datasets. Sci. Rep. 254, 19\u201328 (2017)","journal-title":"Sci. Rep."},{"key":"15_CR8","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1023\/A:1022859003006","volume":"51","author":"LI Kuncheva","year":"2003","unstructured":"Kuncheva, L.I., Whitaker, C.J.: Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Mach. Learn. 51, 181\u2013207 (2003)","journal-title":"Mach. Learn."},{"key":"15_CR9","doi-asserted-by":"publisher","first-page":"866","DOI":"10.1016\/j.eswa.2006.10.043","volume":"34","author":"QH Hu","year":"2008","unstructured":"Hu, Q.H., Yu, D.R., Xie, Z.X.: Neighborhood classifier. Expert Syst. Appl. 34, 866\u2013876 (2008)","journal-title":"Expert Syst. Appl."},{"key":"15_CR10","doi-asserted-by":"publisher","first-page":"3577","DOI":"10.1016\/j.ins.2008.05.024","volume":"18","author":"QH Hu","year":"2008","unstructured":"Hu, Q.H., Liu, J.F., Wu, C.X.: Neighborhood rough set based heterogeneous feature subset selection. Inf. Sci. 18, 3577\u20133594 (2008)","journal-title":"Inf. Sci."},{"key":"15_CR11","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1109\/TSMCB.2009.2024166","volume":"40","author":"QH Hu","year":"2010","unstructured":"Hu, Q.H., Pedrycz, W., Yu, D.R., Liang, J.: Selecting discrete and continuous features based on neighborhood decision error minimization. IEEE Trans. Syst. Man Cybern. Part B 40, 137\u2013150 (2010)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B"},{"key":"15_CR12","doi-asserted-by":"publisher","first-page":"3728","DOI":"10.1016\/j.patcog.2007.04.022","volume":"40","author":"QH Hu","year":"2007","unstructured":"Hu, Q.H., Yu, D.R., Xie, Z.X., Li, X.D., Ensemble Rough Subspaces: EROS. Pattern Recogn. 40, 3728\u20133739 (2007)","journal-title":"Pattern Recogn."},{"key":"15_CR13","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.fss.2011.01.016","volume":"183","author":"QH Hu","year":"2011","unstructured":"Hu, Q.H., An, S., Yu, X., Yu, D.R.: Robust fuzzy rough classifiers. Fuzzy Sets Syst. 183, 26\u201343 (2011)","journal-title":"Fuzzy Sets Syst."},{"key":"15_CR14","doi-asserted-by":"publisher","first-page":"636","DOI":"10.1109\/TFUZZ.2011.2181180","volume":"20","author":"QH Hu","year":"2012","unstructured":"Hu, Q.H., Zhang, L., An, S., Zhang, D., Yu, D.R.: On robust fuzzy rough set models. IEEE Trans. Fuzzy Syst. 20, 636\u2013651 (2012)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"15_CR15","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.knosys.2016.04.012","volume":"104","author":"SP Xu","year":"2016","unstructured":"Xu, S.P., Yang, X.B., Yu, H.L., Tsang, E.C.C.: Multi-label learning with label-specific feature reduction. Knowl. Based Syst. 104, 52\u201361 (2016)","journal-title":"Knowl. Based Syst."},{"key":"15_CR16","doi-asserted-by":"crossref","unstructured":"Xu, S.P., Yang, X.B., Song, X.N., Yu, H.L.: Prediction of protein structural classes by decreasing nearest neighbor error rate. In: 2015 International Conference on Machine Learning and Cybernetics, Guangzhou, China, 12\u201315 July 2015, pp. 7\u201313 (2015)","DOI":"10.1109\/ICMLC.2015.7340889"},{"key":"15_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1007\/978-3-319-60837-2_30","volume-title":"Rough Sets","author":"S Xu","year":"2017","unstructured":"Xu, S., Wang, P., Li, J., Yang, X., Chen, X.: Attribute reduction: an ensemble strategy. In: Polkowski, L. (ed.) IJCRS 2017. LNCS, vol. 10313, pp. 362\u2013375. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-60837-2_30"},{"key":"15_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2105-12-1","volume":"12","author":"SQ Li","year":"2011","unstructured":"Li, S.Q., Harner, E.J., Adjeroh, D.A.: Random KNN feature selection-a fast and stable alternative to random forests. BMC Bioinform. 12, 1\u201311 (2011)","journal-title":"BMC Bioinform."},{"key":"15_CR19","doi-asserted-by":"publisher","first-page":"769","DOI":"10.1109\/TFUZZ.2014.2327993","volume":"23","author":"SY Zhao","year":"2015","unstructured":"Zhao, S.Y., Chen, H., Li, C.P., Du, X.Y., Sun, H.: A novel approach to building a robust fuzzy rough classifier. IEEE Trans. Fuzzy Syst. 23, 769\u2013786 (2015)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"15_CR20","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.knosys.2014.03.021","volume":"64","author":"XB Yang","year":"2014","unstructured":"Yang, X.B., Qi, Y., Yu, H.L., Song, X.N., Yang, J.Y.: Updating multigranulation rough approximations with increasing of granular structures. Knowl. Based Syst. 64, 59\u201369 (2014)","journal-title":"Knowl. Based Syst."},{"key":"15_CR21","doi-asserted-by":"publisher","first-page":"277","DOI":"10.2991\/ijcis.2017.10.1.19","volume":"10","author":"XB Yang","year":"2017","unstructured":"Yang, X.B., Xu, S.P., Dou, H.L., Song, X.N., Yu, H.L., Yang, J.Y.: Multigranulation rough set: a multiset based strategy. Int. J. Comput. Intell. Syst. 10, 277\u2013292 (2017)","journal-title":"Int. J. Comput. Intell. Syst."},{"key":"15_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.patcog.2016.02.013","volume":"56","author":"X Zhang","year":"2016","unstructured":"Zhang, X., Mei, C.L., Chen, D.G., Li, J.H.: Feature selection in mixed data: a method using a novel fuzzy rough set-based information entropy. Pattern Recogn. 56, 1\u201315 (2016)","journal-title":"Pattern Recogn."},{"issue":"5","key":"15_CR23","doi-asserted-by":"publisher","first-page":"1638","DOI":"10.1109\/TFUZZ.2014.2371479","volume":"23","author":"XZ Wang","year":"2014","unstructured":"Wang, X.Z., Xing, H.J., Li, Y., Hua, Q., Dong, C.R., Pedrycz, W.: A study on relationship between generalization abilities and fuzziness of base classifiers in ensemble learning. IEEE Trans. Fuzzy Syst. 23(5), 1638\u20131654 (2014)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"15_CR24","first-page":"100","volume":"2","author":"YY Yao","year":"2008","unstructured":"Yao, Y.Y., Zhao, Y., Wang, J.: On reduct construction algorithms. Trans. Comput. Sci. 2, 100\u2013117 (2008)","journal-title":"Trans. Comput. Sci."},{"key":"15_CR25","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.fss.2014.04.029","volume":"258","author":"YH Qian","year":"2015","unstructured":"Qian, Y.H., Wang, Q., Cheng, H.H., Liang, J.Y., Dang, C.Y.: Fuzzy-rough feature selection accelerator. Fuzzy Sets Syst. 258, 61\u201378 (2015)","journal-title":"Fuzzy Sets Syst."},{"issue":"4","key":"15_CR26","doi-asserted-by":"publisher","first-page":"725","DOI":"10.1109\/TSMCB.2005.845396","volume":"35","author":"ZH Zhou","year":"2005","unstructured":"Zhou, Z.H., Yu, Y.: Ensembling local learners through multimodal perturbation. IEEE Trans. Syst. Man Cybern. Part B 35(4), 725\u2013735 (2005)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B"}],"container-title":["Lecture Notes in Computer Science","Rough Sets"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-99368-3_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T18:57:07Z","timestamp":1710356227000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-99368-3_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319993676","9783319993683"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-99368-3_15","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":"15 August 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IJCRS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Joint Conference on Rough Sets","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Quy Nhon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","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":"20 August 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 August 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ijcrs2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.roughsets.org\/news\/2017-12-13\/ijcrs2018-international-joint-conference-on-rough-sets\/events\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"61","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"66% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1,5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}