{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T11:46:17Z","timestamp":1725795977897},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319079943"},{"type":"electronic","value":"9783319079950"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-07995-0_6","type":"book-chapter","created":{"date-parts":[[2014,6,10]],"date-time":"2014-06-10T23:24:31Z","timestamp":1402442671000},"page":"53-62","source":"Crossref","is-referenced-by-count":1,"title":["An Overall Performance Comparative of GA-PARSIMONY Methodology with Regression Algorithms"],"prefix":"10.1007","author":[{"given":"Rub\u00e9n","family":"Urraca-Valle","sequence":"first","affiliation":[]},{"given":"Enrique","family":"Sodupe-Ortega","sequence":"additional","affiliation":[]},{"given":"Javier","family":"Anto\u00f1anzas Torres","sequence":"additional","affiliation":[]},{"given":"Fernando","family":"Anto\u00f1anzas-Torres","sequence":"additional","affiliation":[]},{"given":"Francisco Javier","family":"Mart\u00ednez-de-Pis\u00f3n","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"6_CR1","unstructured":"StatLib\u2014Datasets Archive, \n http:\/\/lib.stat.cmu.edu\/datasets\/"},{"key":"6_CR2","unstructured":"Asuncion, A., Newman, D.: UCI machine learning repository (2007), \n http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html"},{"issue":"1","key":"6_CR3","first-page":"37","volume":"6","author":"David W. Aha","year":"1991","unstructured":"Aha, D.W., Kibler, D.: Instance-based learning algorithms. Machine Learning, 37\u201366 (1991)","journal-title":"Machine Learning"},{"key":"6_CR4","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.neucom.2013.01.055","volume":"126","author":"J.L. Calvo-Rolle","year":"2014","unstructured":"Calvo-Rolle, J.L., Corchado, E.: A bio-inspired knowledge system for improving combined cycle plant control tuning. Neurocomputing\u00a0126, 95\u2013105 (2014)","journal-title":"Neurocomputing"},{"issue":"10","key":"6_CR5","doi-asserted-by":"publisher","first-page":"12939","DOI":"10.1016\/j.eswa.2011.04.090","volume":"38","author":"N. Chen","year":"2011","unstructured":"Chen, N., Ribeiro, B., Vieira, A., Duarte, J., Neves, J.C.: A genetic algorithm-based approach to cost-sensitive bankruptcy prediction. Expert Syst. Appl.\u00a038(10), 12939\u201312945 (2011)","journal-title":"Expert Syst. Appl."},{"issue":"14","key":"6_CR6","doi-asserted-by":"publisher","first-page":"2633","DOI":"10.1016\/j.ins.2010.02.019","volume":"180","author":"E. Corchado","year":"2010","unstructured":"Corchado, E., Abraham, A., Carvalho, A.: Hybrid intelligent algorithms and applications. Information Sciences\u00a0180(14), 2633\u20132634 (2010)","journal-title":"Information Sciences"},{"issue":"1","key":"6_CR7","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.neucom.2011.06.021","volume":"75","author":"E. Corchado","year":"2012","unstructured":"Corchado, E., Gra\u00f1a, M., Wozniak, M.: Editorial: New trends and applications on hybrid artificial intelligence systems. Neurocomputing\u00a075(1), 61\u201363 (2012)","journal-title":"Neurocomputing"},{"key":"6_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neucom.2013.07.001","volume":"126","author":"E. Corchado","year":"2014","unstructured":"Corchado, E., Wozniak, M., Abraham, A., de Carvalho, A.C.P.L.F., Sn\u00e1sel, V.: Recent trends in intelligent data analysis. Neurocomputing\u00a0126, 1\u20132 (2014)","journal-title":"Neurocomputing"},{"issue":"7","key":"6_CR9","doi-asserted-by":"publisher","first-page":"1248","DOI":"10.4304\/jsw.6.7.1248-1256","volume":"6","author":"S. Ding","year":"2011","unstructured":"Ding, S.: Spectral and wavelet-based feature selection with particle swarm optimization for hyperspectral classification. JSW\u00a06(7), 1248\u20131256 (2011)","journal-title":"JSW"},{"key":"6_CR10","unstructured":"Drucker, H., Chris, K.B.L., Smola, A., Vapnik, V.: Support vector regression machines. In: Advances in Neural Information Processing Systems 9, vol.\u00a09, pp. 155\u2013161 (1997)"},{"issue":"3","key":"6_CR11","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1080\/0305215X.2011.641718","volume":"44","author":"J.L. Guerrero","year":"2012","unstructured":"Guerrero, J.L., Berlanga, A., Molina, J.M.: A multi-objective approach for the segmentation issue. Engineering Optimization\u00a044(3), 267\u2013287 (2012)","journal-title":"Engineering Optimization"},{"issue":"1","key":"6_CR12","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1145\/1656274.1656278","volume":"11","author":"M. Hall","year":"2009","unstructured":"Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The weka data mining software: An update. SIGKDD Explor. Newsl.\u00a011(1), 10\u201318 (2009)","journal-title":"SIGKDD Explor. Newsl."},{"issue":"2","key":"6_CR13","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1007\/s00180-008-0119-7","volume":"24","author":"K. Hornik","year":"2009","unstructured":"Hornik, K., Buchta, C., Zeileis, A.: Open-source machine learning: R meets Weka. Computational Statistics\u00a024(2), 225\u2013232 (2009)","journal-title":"Computational Statistics"},{"issue":"2","key":"6_CR14","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1016\/j.biosystems.2006.12.003","volume":"90","author":"H.L. Huang","year":"2007","unstructured":"Huang, H.L., Chang, F.L.: Esvm: Evolutionary support vector machine for automatic feature selection and classification of microarray data. Biosystems\u00a090(2), 516\u2013528 (2007)","journal-title":"Biosystems"},{"issue":"2","key":"6_CR15","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/j.future.2009.01.001","volume":"26","author":"R. Men\u00e9ndez de Llano","year":"2010","unstructured":"Men\u00e9ndez de Llano, R., Bosque, J.L.: Study of neural net training methods in parallel and distributed architectures. Future Gener. Comput. Syst.\u00a026(2), 267\u2013275 (2010)","journal-title":"Future Gener. Comput. Syst."},{"key":"6_CR16","unstructured":"Michalewicz, Z., Janikow, C.Z.: Handling constraints in genetic algorithms. In: ICGA, pp. 151\u2013157 (1991)"},{"key":"6_CR17","unstructured":"Quinlan, J.R.: Learning with continuous classes. In: 5th Australian Joint Conference on Artificial Intelligence, pp. 343\u2013348 (1992)"},{"key":"6_CR18","unstructured":"R Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2013)"},{"issue":"3","key":"6_CR19","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1007\/s10994-012-5286-7","volume":"87","author":"M. Reif","year":"2012","unstructured":"Reif, M., Shafait, F., Dengel, A.: Meta-learning for evolutionary parameter optimization of classifiers. Machine Learning\u00a087(3), 357\u2013380 (2012)","journal-title":"Machine Learning"},{"issue":"2","key":"6_CR20","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1179\/1743281212Y.0000000094","volume":"41","author":"A. Sanz-Garc\u00eda","year":"2014","unstructured":"Sanz-Garc\u00eda, A., Fern\u00e1ndez-Ceniceros, J., Fern\u00e1ndez-Mart\u00ednez, R., Mart\u00ednez-De-Pis\u00f3n, F.: Methodology based on genetic optimisation to develop overall parsimony models for predicting temperature settings on annealing furnace. Ironmaking and Steelmaking\u00a041(2), 87\u201398 (2014)","journal-title":"Ironmaking and Steelmaking"},{"key":"6_CR21","first-page":"1","volume-title":"Advances in Intelligent Systems and Computing","author":"Andr\u00e9s Sanz-Garc\u00eda","year":"2014","unstructured":"Sanz-Garc\u00eda, A., Fern\u00e1ndez-Ceniceros, J., Anto\u00f1anzas-Torres, F., Mart\u00ednez-de-Pis\u00f3n-Ascacibar, F.J.: Parsimonious support vector machines modelling for set points in industrial processes based on genetic algorithm optimization. In: Herrero, A., et al. (eds.) International Joint Conference SOCO\u201913-CISIS\u201913-ICEUTE\u201913. AISC, vol.\u00a0239, pp. 1\u201310. Springer, Heidelberg (2014)"},{"issue":"2","key":"6_CR22","doi-asserted-by":"crossref","first-page":"103","DOI":"10.3233\/ICA-2010-0337","volume":"17","author":"J. Sedano","year":"2010","unstructured":"Sedano, J., Curiel, L., Corchado, E., de la Cal, E., Villar, J.R.: A soft computing method for detecting lifetime building thermal insulation failures. Integrated Computer-Aided Engineering\u00a017(2), 103\u2013115 (2010)","journal-title":"Integrated Computer-Aided Engineering"},{"key":"6_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1007\/978-3-642-27549-4_43","volume-title":"Computer Aided Systems Theory \u2013 EUROCAST 2011","author":"S.M. Winkler","year":"2012","unstructured":"Winkler, S.M., Affenzeller, M., Kronberger, G., Kommenda, M., Wagner, S., Jacak, W., Stekel, H.: Analysis of selected evolutionary algorithms in feature selection and parameter optimization for data based tumor marker modeling. In: Moreno-D\u00edaz, R., Pichler, F., Quesada-Arencibia, A. (eds.) EUROCAST 2011, Part I. LNCS, vol.\u00a06927, pp. 335\u2013342. Springer, Heidelberg (2012)"},{"key":"6_CR24","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"I.H. Witten","year":"2011","unstructured":"Witten, I.H., Frank, E., Hall, M.A.: Data Mining: Practical Machine Learning Tools and Techniques, 3rd edn. Morgan Kaufmann, Amsterdam (2011)","edition":"3"}],"container-title":["Advances in Intelligent Systems and Computing","International Joint Conference SOCO\u201914-CISIS\u201914-ICEUTE\u201914"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-07995-0_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,21]],"date-time":"2023-01-21T00:55:14Z","timestamp":1674262514000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-07995-0_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319079943","9783319079950"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-07995-0_6","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2014]]}}}