{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T23:02:48Z","timestamp":1743116568987,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319512792"},{"type":"electronic","value":"9783319512815"}],"license":[{"start":{"date-parts":[[2016,12,29]],"date-time":"2016-12-29T00:00:00Z","timestamp":1482969600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,12,29]],"date-time":"2016-12-29T00:00:00Z","timestamp":1482969600000},"content-version":"vor","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":[[2017]]},"DOI":"10.1007\/978-3-319-51281-5_45","type":"book-chapter","created":{"date-parts":[[2017,1,4]],"date-time":"2017-01-04T23:28:13Z","timestamp":1483572493000},"page":"447-455","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The Reconstructed Heterogeneity to Enhance Ensemble Neural Network for Large Data"],"prefix":"10.1007","author":[{"given":"Mumtazimah","family":"Mohamad","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mokhairi","family":"Makhtar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohd Nordin Abd","family":"Rahman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,12,29]]},"reference":[{"key":"45_CR1","doi-asserted-by":"crossref","unstructured":"Bottou, L.: Large-scale machine learning with stochastic gradient descent. In: Lechevallier, Y., Saporta, G. (eds.) 19th International Conference on Computational Statistics, pp. 177\u2013186. Physica-Verlag HD, Paris (2010)","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"45_CR2","first-page":"137","volume":"3","author":"M Vijayalakshmi","year":"2012","unstructured":"Vijayalakshmi, M., Devi, M.R.: A survey of different issues of different clustering algorithms used in large data sets. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 3, 137\u2013141 (2012)","journal-title":"Int. J. Adv. Res. Comput. Sci. Softw. Eng."},{"key":"45_CR3","doi-asserted-by":"crossref","unstructured":"Wen, Y.-M., Wang, Y.-N., Liu, W.-H.: Using parallel partitioning strategy to create diversity for ensemble learning. In: 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009, Beijing, pp. 585\u2013589 (2009)","DOI":"10.1109\/ICCSIT.2009.5234490"},{"key":"45_CR4","doi-asserted-by":"crossref","unstructured":"Seiffertt, J., Wunsch. D.C.: Back propagation on time scales. In: Unified Computational Intelligence for Complex Systems, vol. 6, pp. 77\u201389. Springer, Heidelberg (2010)","DOI":"10.1007\/978-3-642-03180-9_6"},{"key":"45_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1007\/978-3-642-21090-7_17","volume-title":"Advances in Neural Networks \u2013 ISNN 2011","author":"H Parvin","year":"2011","unstructured":"Parvin, H., Minaei, B., Alizadeh, H., Beigi, A.: A novel classifier ensemble method based on class weightening in huge dataset. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds.) ISNN 2011. LNCS, vol. 6676, pp. 144\u2013150. Springer, Heidelberg (2011). doi:10.1007\/978-3-642-21090-7_17"},{"key":"45_CR6","doi-asserted-by":"publisher","first-page":"878","DOI":"10.1109\/TNNLS.2013.2246578","volume":"24","author":"Y Jing","year":"2013","unstructured":"Jing, Y., Xiaoqin, Z., Shuiming, Z., Shengli, W.: Effective neural network ensemble approach for improving generalization performance. IEEE Trans. Neural Netw. Learn. Syst. 24, 878\u2013887 (2013)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"45_CR7","doi-asserted-by":"publisher","first-page":"3207","DOI":"10.1162\/NECO_a_00052","volume":"22","author":"DC Ciresan","year":"2010","unstructured":"Ciresan, D.C., Meier, U., Gambardella, L.M., Schmidhuber, J.: Deep big simple neural nets excel on handwritten digit recognition. Neural Comput. 22, 3207\u20133220 (2010)","journal-title":"Neural Comput."},{"key":"45_CR8","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural Networks for Pattern Recognition","author":"CM Bishop","year":"1995","unstructured":"Bishop, C.M.: Neural Networks for Pattern Recognition. Clarendon, Oxford (1995)"},{"key":"45_CR9","doi-asserted-by":"publisher","first-page":"6470","DOI":"10.1109\/TIT.2010.2079010","volume":"56","author":"Y Yao","year":"2010","unstructured":"Yao, Y.: On complexity issues of online learning algorithms. IEEE Trans. Inf. Theory 56, 6470\u20136481 (2010)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"45_CR10","doi-asserted-by":"publisher","first-page":"1194","DOI":"10.1109\/TNN.2006.875979","volume":"17","author":"T Windeatt","year":"2006","unstructured":"Windeatt, T.: Accuracy diversity and ensemble MLP classifier design. IEEE Trans. Neural Netw. 17, 1194\u20131211 (2006)","journal-title":"IEEE Trans. Neural Netw."},{"key":"45_CR11","unstructured":"Sospedra, J.T.: Ensembles of artificial neural networks: analysis and development of design methods. Ph.D. doctoral dissertation, Department of Computer Science and Engineering, Universitat Jaume I, Castellon (2011)"},{"key":"45_CR12","unstructured":"Peng, K., Obradovic, Z., Vucetic, S.: Towards efficient learning of neural network ensembles from arbitrarily large datasets. In: ECAI, p. 623 (2004)"},{"key":"45_CR13","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1109\/TKDE.2011.207","volume":"25","author":"S Wang","year":"2013","unstructured":"Wang, S., Yao, X.: Relationships between diversity of classification ensembles and single-class performance measures. IEEE Trans. Knowl. Data Eng. 25, 206\u2013219 (2013)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"45_CR14","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1007\/s00521-011-0544-3","volume":"21","author":"C Fern\u00e1ndez","year":"2012","unstructured":"Fern\u00e1ndez, C., Valle, C., Saravia, F., Allende, H.: Behavior analysis of neural network ensemble algorithm on a virtual machine cluster. Neural Comput. Appl. 21, 535\u2013542 (2012)","journal-title":"Neural Comput. Appl."},{"key":"45_CR15","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/MCAS.2006.1688199","volume":"6","author":"R Polikar","year":"2006","unstructured":"Polikar, R.: Ensemble based systems in decision making. IEEE Circ. Syst. Mag. 6, 21\u201345 (2006)","journal-title":"IEEE Circ. Syst. Mag."}],"container-title":["Advances in Intelligent Systems and Computing","Recent Advances on Soft Computing and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-51281-5_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,21]],"date-time":"2024-06-21T15:18:31Z","timestamp":1718983111000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-51281-5_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,29]]},"ISBN":["9783319512792","9783319512815"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-51281-5_45","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2016,12,29]]},"assertion":[{"value":"29 December 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SCDM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Soft Computing and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bandung","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 August 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 August 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Second","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"scdm2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/fsktm2.uthm.edu.my\/scdm2016\/upload\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}