{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T16:40:01Z","timestamp":1750869601478,"version":"3.41.0"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319670768"},{"type":"electronic","value":"9783319670775"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[[2017]]},"DOI":"10.1007\/978-3-319-67077-5_1","type":"book-chapter","created":{"date-parts":[[2017,9,6]],"date-time":"2017-09-06T01:42:47Z","timestamp":1504662167000},"page":"3-12","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Gene Expression Programming Ensemble for Classifying Big Datasets"],"prefix":"10.1007","author":[{"given":"Joanna","family":"J\u0229drzejowicz","sequence":"first","affiliation":[]},{"given":"Piotr","family":"J\u0229drzejowicz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,9,7]]},"reference":[{"issue":"1","key":"1_CR1","doi-asserted-by":"publisher","first-page":"21","DOI":"10.3390\/s16010021","volume":"16","author":"A \u00c1lvarez","year":"2016","unstructured":"\u00c1lvarez, A., Sierra, B., Arruti, A., Gil, J.M.L., Garay-Vitoria, N.: Classifier subset selection for the stacked generalization method applied to emotion recognition in speech. Sensors 16(1), 21 (2016)","journal-title":"Sensors"},{"issue":"1","key":"1_CR2","first-page":"38","volume":"17","author":"J Awwalu","year":"2014","unstructured":"Awwalu, J., Ghazvini, A., Bakar, A.A.: Comparative analysis of algorithms in supervised classification: a case study of bank notes dataset. Int. J. Comput. Trends Technol. 17(1), 38\u201343 (2014)","journal-title":"Int. J. Comput. Trends Technol."},{"issue":"2\u20133","key":"1_CR3","first-page":"183","volume":"17","author":"JL \u00c1vila-Jim\u00e9nez","year":"2011","unstructured":"\u00c1vila-Jim\u00e9nez, J.L., Gibaja Galindo, E.L., Zafra, A., Ventura, S.: A gene expression programming algorithm for multi-label classification. Multiple-Valued Logic Soft Comput. 17(2\u20133), 183\u2013206 (2011)","journal-title":"Multiple-Valued Logic Soft Comput."},{"key":"1_CR4","unstructured":"Crain, K., Davis, G.: Classifying forest cover type using cartographic features. Stanford University (2014)"},{"key":"1_CR5","unstructured":"Ferreira, C.: Gene expression programming: a new adaptive algorithm for solving problems. CoRR, cs.AI\/0102027 (2001)"},{"key":"1_CR6","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-32849-1","volume-title":"Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence","author":"C Ferreira","year":"2006","unstructured":"Ferreira, C.: Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence. Studies in Computational Intelligence, vol. 21. Springer, Heidelberg (2006). doi:10.1007\/3-540-32849-1"},{"key":"1_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-662-44848-9_1","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"SA Hosseini","year":"2014","unstructured":"Hosseini, S.A., Rabiee, H.R., Hafez, H., Soltani-Farani, A.: Classifying a stream of infinite concepts: a Bayesian non-parametric approach. In: Calders, T., Esposito, F., H\u00fcllermeier, E., Meo, R. (eds.) ECML PKDD 2014. LNCS, vol. 8724, pp. 1\u201316. Springer, Heidelberg (2014). doi:10.1007\/978-3-662-44848-9_1"},{"key":"1_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/978-3-540-70720-2_10","volume-title":"Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects","author":"J J\u0229drzejowicz","year":"2008","unstructured":"J\u0229drzejowicz, J., J\u0229drzejowicz, P.: GEP-induced expression trees as weak classifiers. In: Perner, P. (ed.) ICDM 2008. LNCS, vol. 5077, pp. 129\u2013141. Springer, Heidelberg (2008). doi:10.1007\/978-3-540-70720-2_10"},{"key":"1_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1007\/978-3-642-04441-0_56","volume-title":"Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems","author":"J J\u0229drzejowicz","year":"2009","unstructured":"J\u0229drzejowicz, J., J\u0229drzejowicz, P.: A family of GEP-induced ensemble classifiers. In: Nguyen, N.T., Kowalczyk, R., Chen, S.-M. (eds.) ICCCI 2009. LNCS, vol. 5796, pp. 641\u2013652. Springer, Heidelberg (2009). doi:10.1007\/978-3-642-04441-0_56"},{"issue":"9","key":"1_CR10","doi-asserted-by":"publisher","first-page":"10932","DOI":"10.1016\/j.eswa.2011.02.135","volume":"38","author":"J J\u0229drzejowicz","year":"2011","unstructured":"J\u0229drzejowicz, J., J\u0229drzejowicz, P.: Experimental evaluation of two new GEP-based ensemble classifiers. Expert Syst. Appl. 38(9), 10932\u201310939 (2011)","journal-title":"Expert Syst. Appl."},{"key":"1_CR11","doi-asserted-by":"crossref","unstructured":"J\u0229drzejowicz, J., J\u0229drzejowicz, P.: Combining expression trees. In: 2013 IEEE International Conference on Cybernetics, CYBCONF 2013, Lausanne, Switzerland, 13\u201315 June 2013, pp. 80\u201385. IEEE (2013)","DOI":"10.1109\/CYBConf.2013.6617448"},{"issue":"20","key":"1_CR12","doi-asserted-by":"publisher","first-page":"6969","DOI":"10.1080\/01431161.2013.810825","volume":"34","author":"BA Johnson","year":"2013","unstructured":"Johnson, B.A., Tateishi, R., Thanh, H.N.: A hybrid pansharpening approach and multiscale object-based image analysis for mapping diseased pine and oak trees. Int. J. Remote Sens. 34(20), 6969\u20136982 (2013)","journal-title":"Int. J. Remote Sens."},{"key":"1_CR13","doi-asserted-by":"crossref","unstructured":"Karakasis, V., Stafylopatis, A.: Data mining based on gene expression programming and Clonal selection. In: IEEE International Conference on Evolutionary Computation, CEC 2006, part of WCCI 2006, Vancouver, BC, Canada, 16\u201321 July 2006, pp. 514\u2013521. IEEE (2006)","DOI":"10.1109\/CEC.2006.1688353"},{"issue":"3","key":"1_CR14","first-page":"392","volume":"18","author":"AA Koc","year":"2013","unstructured":"Koc, A.A., Yeniay, O.: A comparative study of artificial neural networks and logistic regression for classification of marketing campaign results. Math. Comput. Appl. 18(3), 392\u2013398 (2013)","journal-title":"Math. Comput. Appl."},{"key":"1_CR15","unstructured":"Li, X., Zhou, C., Xiao, W., Nelson, P.C.: Prefix gene expression programming. In: Rothlauf, F. (ed.) Late Breaking Paper at Genetic and Evolutionary Computation Conference (GECCO 2005), Washington, D.C., USA, pp. 25\u201329, June 2005"},{"key":"1_CR16","unstructured":"Lichman, M.: UCI machine learning repository (2013)"},{"issue":"3","key":"1_CR17","doi-asserted-by":"publisher","first-page":"126","DOI":"10.4156\/jdcta.vol5.issue3.12","volume":"5","author":"S Liu","year":"2011","unstructured":"Liu, S., Liu, Z., Sun, J., Liu, L.: Application of synergetic neural network in online writeprint identification. Int. J. Digit. Content Technol. Appl. 5(3), 126\u2013135 (2011)","journal-title":"Int. J. Digit. Content Technol. Appl."},{"key":"1_CR18","doi-asserted-by":"crossref","unstructured":"Mertayak, C.: Utilization of dimensionality reduction in stacked generalization architecture. In: The 24th International Symposium on Computer and Information Sciences, ISCIS 2009, 14\u201316 September 2009, North Cyprus, pp. 88\u201393. IEEE (2009)","DOI":"10.1109\/ISCIS.2009.5291858"},{"key":"1_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/978-3-319-39315-5_5","volume-title":"New Frontiers in Mining Complex Patterns","author":"MK Olorunnimbe","year":"2016","unstructured":"Olorunnimbe, M.K., Viktor, H.L., Paquet, E.: Intelligent adaptive ensembles for data stream mining: a high return on investment approach. In: Ceci, M., Loglisci, C., Manco, G., Masciari, E., Ras, Z.W. (eds.) NFMCP 2015. LNCS, vol. 9607, pp. 61\u201375. Springer, Cham (2016). doi:10.1007\/978-3-319-39315-5_5"},{"key":"1_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1007\/978-3-319-46227-1_7","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"A Pesaranghader","year":"2016","unstructured":"Pesaranghader, A., Viktor, H.L.: Fast hoeffding drift detection method for evolving data streams. In: Frasconi, P., Landwehr, N., Manco, G., Vreeken, J. (eds.) ECML PKDD 2016. LNCS, vol. 9852, pp. 96\u2013111. Springer, Cham (2016). doi:10.1007\/978-3-319-46227-1_7"},{"key":"1_CR21","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1613\/jair.594","volume":"10","author":"KM Ting","year":"1999","unstructured":"Ting, K.M., Witten, I.H.: Issues in stacked generalization. J. Artif. Intell. Res. (JAIR) 10, 271\u2013289 (1999)","journal-title":"J. Artif. Intell. Res. (JAIR)"},{"key":"1_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1007\/978-3-642-45062-4_26","volume-title":"Pattern Recognition and Machine Intelligence","author":"P Turkov","year":"2013","unstructured":"Turkov, P., Krasotkina, O., Mottl, V.: Dynamic programming for bayesian logistic regression learning under concept drift. In: Maji, P., Ghosh, A., Murty, M.N., Ghosh, K., Pal, S.K. (eds.) PReMI 2013. LNCS, vol. 8251, pp. 190\u2013195. Springer, Heidelberg (2013). doi:10.1007\/978-3-642-45062-4_26"},{"key":"1_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1007\/11811305_95","volume-title":"Advanced Data Mining and Applications","author":"WR Weinert","year":"2006","unstructured":"Weinert, W.R., Lopes, H.S.: GEPCLASS: a classification rule discovery tool using gene expression programming. In: Li, X., Za\u00efane, O.R., Li, Z. (eds.) ADMA 2006. LNCS, vol. 4093, pp. 871\u2013880. Springer, Heidelberg (2006). doi:10.1007\/11811305_95"},{"issue":"2","key":"1_CR24","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/S0893-6080(05)80023-1","volume":"5","author":"DH Wolpert","year":"1992","unstructured":"Wolpert, D.H.: Stacked generalization. Neural Netw. 5(2), 241\u2013259 (1992)","journal-title":"Neural Netw."},{"issue":"2, Part 1","key":"1_CR25","doi-asserted-by":"publisher","first-page":"2473","DOI":"10.1016\/j.eswa.2007.12.020","volume":"36","author":"I-C Yeh","year":"2009","unstructured":"Yeh, I.-C., Lien, C.H.: The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients. Expert Syst. Appl. 36(2, Part 1), 2473\u20132480 (2009)","journal-title":"Expert Syst. Appl."},{"issue":"10","key":"1_CR26","first-page":"1484","volume":"13","author":"T Zeng","year":"2007","unstructured":"Zeng, T., Tang, C., Xiang, Y., Chen, P., Liu, Y.: A model of immune gene expression programming for rule mining. J. Univ. Comput. Sci. 13(10), 1484\u20131497 (2007). http:\/\/www.jucs.org\/jucs_13_10\/a_model_of_immune","journal-title":"J. Univ. Comput. Sci."},{"key":"1_CR27","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1007\/978-3-642-24477-3_29","volume-title":"Discovery Science","author":"Indr\u0117 \u017dliobait\u0117","year":"2011","unstructured":"Zliobaite, I.: Controlled permutations for testing adaptive classifiers. In: Discovery Science, pp. 365\u2013379 (2011)"}],"container-title":["Lecture Notes in Computer Science","Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-67077-5_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T15:58:34Z","timestamp":1750867114000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-67077-5_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319670768","9783319670775"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-67077-5_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"7 September 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}