{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T21:33:51Z","timestamp":1743111231846,"version":"3.40.3"},"publisher-location":"Cham","reference-count":40,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030200541"},{"type":"electronic","value":"9783030200558"}],"license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-20055-8_38","type":"book-chapter","created":{"date-parts":[[2019,4,30]],"date-time":"2019-04-30T09:16:38Z","timestamp":1556615798000},"page":"399-410","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Outlier Generation and Anomaly Detection Based on Intelligent One-Class Techniques over a Bicomponent Mixing System"],"prefix":"10.1007","author":[{"given":"Esteban","family":"Jove","sequence":"first","affiliation":[]},{"given":"Jos\u00e9-Luis","family":"Casteleiro-Roca","sequence":"additional","affiliation":[]},{"given":"H\u00e9ctor","family":"Quinti\u00e1n","sequence":"additional","affiliation":[]},{"given":"Juan Albino","family":"M\u00e9ndez-P\u00e9rez","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 Luis","family":"Calvo-Rolle","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,5,1]]},"reference":[{"issue":"6","key":"38_CR1","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1002\/asjc.264","volume":"13","author":"H Alaiz Moret\u00f3n","year":"2011","unstructured":"Alaiz Moret\u00f3n, H., Calvo Rolle, J., Garc\u00eda, I., Alonso Alvarez, A.: Formalization and practical implementation of a conceptual model for PID controller tuning. Asian J. Control 13(6), 773\u2013784 (2011)","journal-title":"Asian J. Control"},{"issue":"7","key":"38_CR2","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1016\/S0031-3203(96)00142-2","volume":"30","author":"AP Bradley","year":"1997","unstructured":"Bradley, A.P.: The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognit. 30(7), 1145\u20131159 (1997)","journal-title":"Pattern Recognit."},{"issue":"1","key":"38_CR3","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.jal.2014.11.010","volume":"13","author":"JL Calvo-Rolle","year":"2015","unstructured":"Calvo-Rolle, J.L., Quintian-Pardo, H., Corchado, E., del Carmen Meizoso-L\u00f3pez, M., Garc\u00eda, R.F.: Simplified method based on an intelligent model to obtain the extinction angle of the current for a single-phase half wave controlled rectifier with resistive and inductive load. J. Appl. Log. 13(1), 37\u201347 (2015)","journal-title":"J. Appl. Log."},{"key":"38_CR4","doi-asserted-by":"crossref","unstructured":"Casale, P., Pujol, O., Radeva, P.: Approximate convex hulls family for one-class classification. In: International Workshop on Multiple Classifier Systems, pp. 106\u2013115. Springer (2011)","DOI":"10.1007\/978-3-642-21557-5_13"},{"key":"38_CR5","doi-asserted-by":"crossref","unstructured":"Casteleiro-Roca, J.L., Barrag\u00e1n, A.J., Segura, F., Calvo-Rolle, J.L., And\u00fajar, J.M.: Fuel cell output current prediction with a hybrid intelligent system. Complexity (2019)","DOI":"10.1155\/2019\/6317270"},{"key":"38_CR6","doi-asserted-by":"crossref","unstructured":"Casteleiro-Roca, J.L., Jove, E., S\u00e1nchez-Lasheras, F., M\u00e9ndez-P\u00e9rez, J.A., Calvo-Rolle, J.L., de Cos Juez, F.J.: Power cell soc modelling for intelligent virtual sensor implementation. J. Sens. (2017)","DOI":"10.1155\/2017\/9640546"},{"issue":"3","key":"38_CR7","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1145\/1541880.1541882","volume":"41","author":"V Chandola","year":"2009","unstructured":"Chandola, V., Banerjee, A., Kumar, V.: Anomaly detection: a survey. ACM Comput. Surv. (CSUR) 41(3), 15 (2009)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"38_CR8","unstructured":"Chen, Y., Zhou, X.S., Huang, T.S.: One-class SVM for learning in image retrieval. In: Proceedings of 2001 International Conference on Image Processing, vol.\u00a01, pp. 34\u201337. IEEE (2001)"},{"key":"38_CR9","volume-title":"Fault Detection and Diagnosis in Industrial Systems","author":"LH Chiang","year":"2000","unstructured":"Chiang, L.H., Russell, E.L., Braatz, R.D.: Fault Detection and Diagnosis in Industrial Systems. Springer, Heidelberg (2000)"},{"key":"38_CR10","unstructured":"Fan, H., Wong, C., Yuen, M.F.: Prediction of material properties of epoxy materials using molecular dynamic simulation. In: 7th International Conference on Thermal, Mechanical and Multiphysics Simulation and Experiments in Micro-Electronics and Micro-Systems, EuroSime 2006, pp. 1\u20134, April 2006"},{"key":"38_CR11","unstructured":"Fern\u00e1ndez-Francos, D., Fontenla-Romero, \u00d3., Alonso-Betanzos, A.: One-class convex hull-based algorithm for classification in distributed environments. IEEE Trans. Syst. Man Cybern.: Syst. 99, 1\u201311 (2018)"},{"key":"38_CR12","unstructured":"Garcia, R.F., Rolle, J.L.C., Castelo, J.P., Gomez, M.R.: On the monitoring task of solar thermal fluid transfer systems using NN based models and rule based techniques. Eng. Appl. Artif. Intell. 27, 129 \u2013 136 (2014). http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0952197613001127"},{"issue":"3","key":"38_CR13","doi-asserted-by":"publisher","first-page":"297","DOI":"10.4995\/riai.2017.9042","volume":"15","author":"Guillermo N. Gonz\u00e1lez","year":"2018","unstructured":"Gonz\u00e1lez, G., Angelo, C.D., Forchetti, D., Aligia, D.: Diagn\u00f3stico de fallas en el convertidor del rotor en generadores de inducci\u00f3n con rotor bobinado. Revista Iberoamericana de Autom\u00e1tica e Inform\u00e1tica industrial 15(3), 297\u2013308 (2018). https:\/\/polipapers.upv.es\/index.php\/RIAI\/article\/view\/9042","journal-title":"Revista Iberoamericana de Autom\u00e1tica e Inform\u00e1tica industrial"},{"key":"38_CR14","volume-title":"Deep Learning","author":"I Goodfellow","year":"2016","unstructured":"Goodfellow, I., Bengio, Y., Courville, A., Bengio, Y.: Deep Learning, vol. 1. MIT Press, Cambridge (2016)"},{"issue":"6","key":"38_CR15","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1016\/S0048-7333(97)00044-9","volume":"26","author":"M Hobday","year":"1998","unstructured":"Hobday, M.: Product complexity, innovation and industrial organisation. Res. Policy 26(6), 689\u2013710 (1998)","journal-title":"Res. Policy"},{"issue":"2","key":"38_CR16","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1023\/B:AIRE.0000045502.10941.a9","volume":"22","author":"V Hodge","year":"2004","unstructured":"Hodge, V., Austin, J.: A survey of outlier detection methodologies. Artif. Intell. Rev. 22(2), 85\u2013126 (2004)","journal-title":"Artif. Intell. Rev."},{"key":"38_CR17","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1007\/978-3-319-10840-7_34","volume-title":"Intelligent Data Engineering and Automated Learning - IDEAL 2014","author":"E Jove","year":"2014","unstructured":"Jove, E., Al\u00e1iz-Moret\u00f3n, H., Casteleiro-Roca, J.L., Corchado, E., Calvo-Rolle, J.L.: Modeling of bicomponent mixing system used in the manufacture of wind generator blades. In: Corchado, E., Lozano, J.A., Quinti\u00e1n, H., Yin, H. (eds.) Intelligent Data Engineering and Automated Learning - IDEAL 2014, pp. 275\u2013285. Springer, Cham (2014)"},{"key":"38_CR18","doi-asserted-by":"crossref","unstructured":"Jove, E., Alaiz-Moret\u00f3n, H., Garc\u00eda-Rodr\u00edguez, I., Benavides-Cuellar, C., Casteleiro-Roca, J.L., Calvo-Rolle, J.L.: PID-ITS: an intelligent tutoring system for PID tuning learning process. In: International Joint Conference SOCO 2017-CISIS 2017-ICEUTE 2017, Le\u00f3n, Spain, 6\u20138 September 2017, pp. 726\u2013735. Springer (2017)","DOI":"10.1007\/978-3-319-67180-2_71"},{"issue":"3","key":"38_CR19","first-page":"895","volume":"34","author":"E Jove","year":"2018","unstructured":"Jove, E., Antonio Lopez-Vazquez, J., Isabel Fernandez-Ibanez, M., Casteleiro-Roca, J.L., Luis Calvo-Rolle, J.: Hybrid intelligent system to predict the individual academic performance of engineering students. Int. J. Eng. Educ. 34(3), 895\u2013904 (2018)","journal-title":"Int. J. Eng. Educ."},{"key":"38_CR20","first-page":"415","volume-title":"International Joint Conference SOCO\u201918-CISIS\u201918-ICEUTE\u201918","author":"E Jove","year":"2018","unstructured":"Jove, E., Casteleiro-Roca, J.L., Quinti\u00e1n, H., M\u00e9ndez-P\u00e9rez, J.A., Calvo-Rolle, J.L.: A new approach for system malfunctioning over an industrial system control loop based on unsupervised techniques. In: Gra\u00f1a, M., L\u00f3pez-Guede, J.M., Etxaniz, O., Herrero, \u00c1., S\u00e1ez, J.A., Quinti\u00e1n, H., Corchado, E. (eds.) International Joint Conference SOCO\u201918-CISIS\u201918-ICEUTE\u201918, pp. 415\u2013425. Springer, Cham (2018)"},{"issue":"2","key":"38_CR21","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1093\/jigpal\/jzy032","volume":"27","author":"Esteban Jove","year":"2018","unstructured":"Jove, E., Gonzalez-Cava, J.M., Casteleiro-Roca, J.L., M\u00e9ndez-P\u00e9rez, J.A., Antonio Reboso-Morales, J., Javier P\u00e9rez-Castelo, F., Javier\u00a0de Cos\u00a0Juez, F., Luis Calvo-Rolle, J.: Modelling the hypnotic patient response in general anaesthesia using intelligent models. Log. J. IGPL 27, 189\u2013201 (2018)","journal-title":"Logic Journal of the IGPL"},{"key":"38_CR22","doi-asserted-by":"publisher","unstructured":"Moreno-Fernandez-de Leceta, A., Lopez-Guede, J.M., Ezquerro\u00a0Insagurbe, L., Ruiz\u00a0de Arbulo, N., Gra\u00f1a, M.: A novel methodology for clinical semantic annotations assessment. Log. J. IGPL 26(6), 569\u2013580 (2018). https:\/\/doi.org\/10.1093\/jigpal\/jzy021","DOI":"10.1093\/jigpal\/jzy021"},{"key":"38_CR23","unstructured":"Li, K.L., Huang, H.K., Tian, S.F., Xu, W.: Improving one-class SVM for anomaly detection. In: 2003 International Conference on Machine Learning and Cybernetics, vol.\u00a05, pp. 3077\u20133081. IEEE (2003)"},{"issue":"1","key":"38_CR24","first-page":"112","volume":"89","author":"X Manuel Vilar-Martinez","year":"2014","unstructured":"Manuel Vilar-Martinez, X., Aurelio Montero-Sousa, J., Luis Calvo-Rolle, J., Luis Casteleiro-Roca, J.: Expert system development to assist on the verification of \"TACAN\" system performance. Dyna 89(1), 112\u2013121 (2014)","journal-title":"Dyna"},{"key":"38_CR25","unstructured":"MathWorks: Autoencoder. https:\/\/es.mathworks.com\/help\/deeplearning\/ref\/trainautoencoder.html . Accessed 29 Jan 2019"},{"key":"38_CR26","unstructured":"MathWorks: fitcsvm. https:\/\/es.mathworks.com\/help\/stats\/fitcsvm.html . Accessed 29 Jan 2019"},{"key":"38_CR27","unstructured":"MathWorks: predict. https:\/\/es.mathworks.com\/help\/stats\/classreg.learning.classif.compactclassificationsvm.predict.html . Accessed 29 Jan 2019"},{"key":"38_CR28","unstructured":"Miljkovi\u0107, D.: Fault detection methods: a literature survey. In: 2011 Proceedings of the 34th International Convention on MIPRO, pp. 750\u2013755. IEEE (2011)"},{"key":"38_CR29","unstructured":"Pei, Y., Za\u00efane, O.: A synthetic data generator for clustering and outlier analysis. University of Alberta, edmonton, AB, Canada, Department of Computing science (2006)"},{"key":"38_CR30","doi-asserted-by":"crossref","unstructured":"Quinti\u00e1n, H., Casteleiro-Roca, J.L., Perez-Castelo, F.J., Calvo-Rolle, J.L., Corchado, E.: Hybrid intelligent model for fault detection of a lithium iron phosphate power cell used in electric vehicles. In: International Conference on Hybrid Artificial Intelligence Systems, pp. 751\u2013762. Springer (2016)","DOI":"10.1007\/978-3-319-32034-2_63"},{"key":"38_CR31","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.engappai.2017.01.002","volume":"59","author":"H Quinti\u00e1n","year":"2017","unstructured":"Quinti\u00e1n, H., Corchado, E.: Beta scale invariant map. Eng. Appl. Artif. Intell. 59, 218\u2013235 (2017)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"38_CR32","doi-asserted-by":"publisher","first-page":"130503","DOI":"10.1103\/PhysRevLett.113.130503","volume":"113","author":"P Rebentrost","year":"2014","unstructured":"Rebentrost, P., Mohseni, M., Lloyd, S.: Quantum support vector machine for big data classification. Phys. Rev. Lett. 113, 130503 (2014). https:\/\/doi.org\/10.1103\/PhysRevLett.113.130503","journal-title":"Phys. Rev. Lett."},{"key":"38_CR33","doi-asserted-by":"crossref","unstructured":"Sakurada, M., Yairi, T.: Anomaly detection using autoencoders with nonlinear dimensionality reduction. In: Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, p.\u00a04. ACM (2014)","DOI":"10.1145\/2689746.2689747"},{"issue":"6","key":"38_CR34","doi-asserted-by":"publisher","first-page":"618","DOI":"10.1093\/jigpal\/jzy026","volume":"26","author":"F Segovia","year":"2018","unstructured":"Segovia, F., G\u00f3rriz, J.M., Ram\u00edrez, J., Martinez-Murcia, F.J., Garc\u00eda-P\u00e9rez, M.: Using deep neural networks along with dimensionality reduction techniques to assist the diagnosis of neurodegenerative disorders. Log. J. IGPL 26(6), 618\u2013628 (2018). https:\/\/doi.org\/10.1093\/jigpal\/jzy026","journal-title":"Log. J. IGPL"},{"key":"38_CR35","doi-asserted-by":"crossref","unstructured":"Shalabi, L.A., Shaaban, Z.: Normalization as a preprocessing engine for data mining and the approach of preference matrix. In: 2006 International Conference on Dependability of Computer Systems, pp. 207\u2013214, May 2006","DOI":"10.1109\/DEPCOS-RELCOMEX.2006.38"},{"issue":"Dec","key":"38_CR36","first-page":"3371","volume":"11","author":"P Vincent","year":"2010","unstructured":"Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., Manzagol, P.A.: Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion. J. Mach. Learn. Res. 11(Dec), 3371\u20133408 (2010)","journal-title":"J. Mach. Learn. Res."},{"key":"38_CR37","unstructured":"Wang, C.K., Ting, Y., Liu, Y.H., Hariyanto, G.: A novel approach to generate artificial outliers for support vector data description. In: IEEE International Symposium on Industrial Electronics, ISIE 2009, pp. 2202\u20132207. IEEE (2009)"},{"issue":"1","key":"38_CR38","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1093\/jigpal\/jzx05","volume":"26","author":"S Wojciechowski","year":"2018","unstructured":"Wojciechowski, S.: A comparison of classification strategies in rule-based classifiers. Log. J. IGPL 26(1), 29\u201346 (2018). https:\/\/doi.org\/10.1093\/jigpal\/jzx05","journal-title":"Log. J. IGPL"},{"key":"38_CR39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12990-2","volume-title":"Advances in Neural Network Research and Applications","author":"Z Zeng","year":"2010","unstructured":"Zeng, Z., Wang, J.: Advances in Neural Network Research and Applications, 1st edn. Springer Publishing Company, Heidelberg (2010). Incorporated","edition":"1"},{"key":"38_CR40","unstructured":"Zotes, F.A., Pe\u00f1as, M.S.: Heuristic optimization of interplanetary trajectories in aerospace missions. Revista Iberoamericana de Autom\u00e1tica e Inform\u00e1tica Industrial RIAI 14(1), 1\u201315 (2017). http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1697791216300486"}],"container-title":["Advances in Intelligent Systems and Computing","14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20055-8_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,24]],"date-time":"2019-11-24T07:05:47Z","timestamp":1574579147000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20055-8_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,1]]},"ISBN":["9783030200541","9783030200558"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20055-8_38","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019,5,1]]},"assertion":[{"value":"1 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SOCO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Soft Computing Models in Industrial and Environmental Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Seville","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 May 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 May 2019","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":"socomoin2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2019.sococonference.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}