{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T07:00:32Z","timestamp":1777446032263,"version":"3.51.4"},"publisher-location":"Cham","reference-count":54,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319952031","type":"print"},{"value":"9783319952048","type":"electronic"}],"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\/978-3-319-95204-8_42","type":"book-chapter","created":{"date-parts":[[2018,7,10]],"date-time":"2018-07-10T17:31:42Z","timestamp":1531243902000},"page":"501-510","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":74,"title":["RETRACTED CHAPTER: Machine Learning Predictive Model for Industry 4.0"],"prefix":"10.1007","author":[{"given":"In\u00e9s Sitt\u00f3n","family":"Candanedo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elena Hern\u00e1ndez","family":"Nieves","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sara Rodr\u00edguez","family":"Gonz\u00e1lez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. Teresa Santos","family":"Mart\u00edn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alfonso Gonz\u00e1lez","family":"Briones","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"1","key":"42_CR1","doi-asserted-by":"publisher","first-page":"54","DOI":"10.14201\/ADCAIJ2015415464","volume":"4","author":"JC Alvarado-P\u00e9rez","year":"2015","unstructured":"Alvarado-P\u00e9rez, J.C., Peluffo-Ord\u00f3\u00f1ez, D.H., Theron, R.: Bridging the gap between human knowledge and machine learning. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 4(1), 54\u201364 (2015)","journal-title":"ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J."},{"key":"42_CR2","first-page":"36","volume":"23","author":"F Ballesteros","year":"2017","unstructured":"Ballesteros, F.: La Estrategia Predictiva en el mantenimiento industrial. Grupo \u00c1lava, Espa\u00f1a, Predict\u00e9cnico 23, 36\u201345 (2017)","journal-title":"Grupo \u00c1lava, Espa\u00f1a, Predict\u00e9cnico"},{"issue":"10","key":"42_CR3","doi-asserted-by":"publisher","first-page":"2029","DOI":"10.1016\/j.ins.2009.12.032","volume":"180","author":"B Baruque","year":"2010","unstructured":"Baruque, B., Corchado, E., Mata, A., Corchado, J.M.: A forecasting solution to the oil spill problem based on a hybrid intelligent system. Inf. Sci. 180(10), 2029\u20132043 (2010)","journal-title":"Inf. Sci."},{"issue":"1","key":"42_CR4","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"issue":"1","key":"42_CR5","doi-asserted-by":"publisher","first-page":"41","DOI":"10.14201\/ADCAIJ2017614150","volume":"6","author":"J Bull\u00f3n","year":"2017","unstructured":"Bull\u00f3n, J., Gonz\u00e1lez Arrieta, A., Hern\u00e1ndez Encinas, A., Queiruga Dios, A.: Manufacturing processes in the textile industry. Expert Systems for fabrics production. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(1), 41\u201350 (2017)","journal-title":"ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J."},{"key":"42_CR6","doi-asserted-by":"crossref","unstructured":"Canizo, M., Onieva, E., Conde, A., Charramendieta, S., Trujillo, S.: Real-time predictive maintenance for wind turbines using Big Data framework. In: IEEE International Conference on Prognostics and Health Management (ICPHM), pp. 70\u201377 (2017)","DOI":"10.1109\/ICPHM.2017.7998308"},{"issue":"4","key":"42_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.14201\/ADCAIJ201654118","volume":"5","author":"D Carneiro","year":"2016","unstructured":"Carneiro, D., Araujo, D., Pimenta, A., Novais, P.: Real time analytics for characterizing the computer user\u2019s state. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J 5(4), 1\u201318 (2016)","journal-title":"ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J"},{"key":"42_CR8","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/978-3-319-61578-3_18","volume":"619","author":"P Chamoso","year":"2018","unstructured":"Chamoso, P., Rivas, A., Mart\u00edn-Limorti, J.J., Rodr\u00edguez, S.: A hash based image matching algorithm for social networks. Adv. Intell. Syst. Comput. 619, 183\u2013190 (2018)","journal-title":"Adv. Intell. Syst. Comput."},{"key":"42_CR9","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1007\/978-3-540-28631-8_39","volume-title":"Advances in Case-Based Reasoning","author":"JM Corchado","year":"2004","unstructured":"Corchado, J.M., Aiken, J., Corchado, E.S., Lefevre, N., Smyth, T.: Quantifying the ocean\u2019s CO2 budget with a CoHeL-IBR system. In: Funk, P., Gonz\u00e1lez Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 533\u2013546. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-28631-8_39"},{"issue":"4","key":"42_CR10","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1109\/TSMCC.2002.806072","volume":"32","author":"JM Corchado","year":"2002","unstructured":"Corchado, J.M., Aiken, J.: Hybrid artificial intelligence methods in oceanographic forecast models. IEEE Trans. Syst. Man Cybern. Part C-Appl. Rev. 32(4), 307\u2013313 (2002)","journal-title":"IEEE Trans. Syst. Man Cybern. Part C-Appl. Rev."},{"issue":"4","key":"42_CR11","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1016\/S0954-1810(99)00007-2","volume":"13","author":"JM Corchado","year":"1999","unstructured":"Corchado, J.M., Fyfe, C.: Unsupervised neural method for temperature forecasting. Artif. Intell. Eng. 13(4), 351\u2013357 (1999)","journal-title":"Artif. Intell. Eng."},{"key":"42_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-540-30185-1_1","volume-title":"Advances in Data Mining","author":"JM Corchado","year":"2004","unstructured":"Corchado, J.M., Borrajo, M.L., Pellicer, M.A., Y\u00e1\u00f1ez, J.C.: Neuro-symbolic system for business internal control. In: Perner, P. (ed.) ICDM 2004. LNCS (LNAI), vol. 3275, pp. 1\u201310. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-30185-1_1"},{"key":"42_CR13","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/3-540-45006-8_11","volume-title":"Case-Based Reasoning Research and Development","author":"JM Corchado","year":"2003","unstructured":"Corchado, J.M., et al.: Maximum likelihood Hebbian learning based retrieval method for CBR systems. In: Ashley, K.D., Bridge, D.G. (eds.) ICCBR 2003. LNCS (LNAI), vol. 2689, pp. 107\u2013121. Springer, Heidelberg (2003). https:\/\/doi.org\/10.1007\/3-540-45006-8_11"},{"key":"42_CR14","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1007\/978-3-540-28631-8_40","volume-title":"Advances in Case-Based Reasoning","author":"JM Corchado","year":"2004","unstructured":"Corchado, J.M., Pav\u00f3n, J., Corchado, E.S., Castillo, L.F.: Development of CBR-BDI agents: a tourist guide application. In: Funk, P., Gonz\u00e1lez Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 547\u2013559. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-28631-8_40"},{"key":"42_CR15","doi-asserted-by":"crossref","unstructured":"Corchado, J.M., Fyfe, C., Lees, B.: Unsupervised learning for financial forecasting. In: Proceedings of the IEEE\/IAFE\/INFORMS, Conference on Computational Intelligence for Financial Engineering (CIFEr) (Cat. No. 98TH8367), pp. 259\u2013263 (1998)","DOI":"10.1109\/CIFER.1998.690316"},{"issue":"4","key":"42_CR16","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1093\/jigpal\/jzr021","volume":"20","author":"\u00c2 Costa","year":"2012","unstructured":"Costa, \u00c2., Novais, P., Corchado, J.M., Neves, J.: Increased performance and better patient attendance in an hospital with the use of smart agendas. Log. J. IGPL 20(4), 689\u2013698 (2012)","journal-title":"Log. J. IGPL"},{"key":"42_CR17","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/978-3-642-40669-0_2","volume-title":"Progress in Artificial Intelligence","author":"F de la Prieta","year":"2013","unstructured":"de la Prieta, F., Navarro, M., Garc\u00eda, J.A., Gonz\u00e1lez, R., Rodr\u00edguez, S.: Multi-agent system for controlling a cloud computing environment. In: Correia, L., Reis, L.P., Cascalho, J. (eds.) EPIA 2013. LNCS (LNAI), vol. 8154, pp. 13\u201320. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-40669-0_2"},{"issue":"5\u20136 SPEC","key":"42_CR18","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/S0950-7051(03)00034-0","volume":"16","author":"F Fern\u00e1ndez-Riverola","year":"2003","unstructured":"Fern\u00e1ndez-Riverola, F., Corchado, J.M.: CBR based system for forecasting red tides. Knowl.-Based Syst. 16(5\u20136 SPEC), 321\u2013328 (2003)","journal-title":"Knowl.-Based Syst."},{"issue":"3","key":"42_CR19","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1023\/B:APIN.0000043558.52701.b1","volume":"21","author":"F Fern\u00e1ndez-Riverola","year":"2004","unstructured":"Fern\u00e1ndez-Riverola, F., Corchado, J.M.: FSfRT: forecasting system for red tides. Appl. Intell. 21(3), 251\u2013264 (2004)","journal-title":"Appl. Intell."},{"issue":"1","key":"42_CR20","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1109\/TSMCC.2006.876058","volume":"37","author":"F Fern\u00e1ndez-Riverola","year":"2007","unstructured":"Fern\u00e1ndez-Riverola, F., Diaz, F., Corchado, J.M.: Reducing the memory size of a fuzzy case-based reasoning system applying rough set techniques. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 37(1), 138\u2013146 (2007)","journal-title":"IEEE Trans. Syst. Man Cybern. Part C Appl. Rev."},{"issue":"3","key":"42_CR21","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1016\/S1474-0346(02)00008-3","volume":"16","author":"C Fyfe","year":"2002","unstructured":"Fyfe, C., Corchado, J.M.: A comparison of kernel methods for instantiating case based reasoning systems. Adv. Eng. Inform. 16(3), 165\u2013178 (2002)","journal-title":"Adv. Eng. Inform."},{"issue":"4","key":"42_CR22","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1002\/int.1024","volume":"16","author":"C Fyfe","year":"2001","unstructured":"Fyfe, C., Corchado, J.M.: Automating the construction of CBR systems using kernel methods. Int. J. Intell. Syst. 16(4), 571\u2013586 (2001)","journal-title":"Int. J. Intell. Syst."},{"issue":"4 PART 1","key":"42_CR23","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1016\/j.eswa.2013.08.003","volume":"41","author":"JA Garc\u00eda Coria","year":"2014","unstructured":"Garc\u00eda Coria, J.A., Castellanos-Garz\u00f3n, J.A., Corchado, J.M.: Intelligent business processes composition based on multi-agent systems. Expert Syst. Appl. 41(4 PART 1), 1189\u20131205 (2014)","journal-title":"Expert Syst. Appl."},{"key":"42_CR24","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/978-3-642-19934-9_14","volume":"91","author":"E Garc\u00eda","year":"2011","unstructured":"Garc\u00eda, E., Rodr\u00edguez, S., Mart\u00edn, B., Zato, C., P\u00e9rez, B.: MISIA: middleware infrastructure to simulate intelligent agents. Adv. Intell. Soft Comput. 91, 107\u2013116 (2011)","journal-title":"Adv. Intell. Soft Comput."},{"issue":"4","key":"42_CR25","doi-asserted-by":"publisher","first-page":"93","DOI":"10.14201\/ADCAIJ20165493103","volume":"5","author":"M Garc\u00eda-Valls","year":"2016","unstructured":"Garc\u00eda-Valls, M.: Prototyping low-cost and flexible vehicle diagnostic systems. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 5(4), 93\u2013103 (2016)","journal-title":"ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J."},{"key":"42_CR26","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.bdr.2017.07.003","volume":"9","author":"R Genuer","year":"2015","unstructured":"Genuer, R., Poggi, J.M., Tuleau-Malot, C., Villa-Vialaneix, N.: Random forests for Big Data. Big Data Res. 9, 28\u201346 (2015)","journal-title":"Big Data Res."},{"issue":"3","key":"42_CR27","first-page":"173","volume":"10","author":"M Gonz\u00e1lez-Bedia","year":"2002","unstructured":"Gonz\u00e1lez-Bedia, M., Corchado, J.M., Corchado, E.S., Fyfe, C.: Analytical model for constructing deliberative agents. Int. J. Eng. Intell. Syst. Electr. Eng. Commun. 10(3), 173\u2013185 (2002)","journal-title":"Int. J. Eng. Intell. Syst. Electr. Eng. Commun."},{"key":"42_CR28","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1186\/1471-2105-10-187","volume":"10","author":"D Gonz\u00e1lez-Pe\u00f1a","year":"2009","unstructured":"Gonz\u00e1lez-Pe\u00f1a, D., D\u00edaz, F., Hern\u00e1ndez, J.M., Corchado, J.M., Fern\u00e1ndez-Riverola, F.: geneCBR: A translational tool for multiple-microarray analysis and integrative information retrieval for aiding diagnosis in cancer research. BMC Bioinform. 10, 187 (2009)","journal-title":"BMC Bioinform."},{"issue":"3","key":"42_CR29","doi-asserted-by":"publisher","first-page":"9","DOI":"10.14201\/ADCAIJ201426913","volume":"2","author":"S Goyal","year":"2013","unstructured":"Goyal, S., Goyal, G.K.: Machine learning ANN models for predicting sensory quality of roasted coffee flavoured sterilized drink. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 2(3), 9\u201313 (2013)","journal-title":"ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J."},{"key":"42_CR30","unstructured":"Hortonworks: Analyze HVAC Machine and Sensor Data (2017). https:\/\/es.hortonworks.com\/hadoop-tutorial\/how-to-analyze-machine-and-sensor-data\/#section-2"},{"key":"42_CR31","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.csda.2015.10.005","volume":"96","author":"S Janitza","year":"2016","unstructured":"Janitza, S., Tutz, G., Boulesteix, A.: Random forest for ordinal responses: prediction and variable selection. Comput. Stat. Data Anal. 96, 57\u201373 (2016)","journal-title":"Comput. Stat. Data Anal."},{"key":"42_CR32","doi-asserted-by":"crossref","unstructured":"Japkowicz, N., Shah, M.: Evaluating Learning Algorithms: A Classification Perspective, p. 405. Cambridge University Press, New York (2011). ISBN 1139494147, 9781139494144","DOI":"10.1017\/CBO9780511921803"},{"key":"42_CR33","unstructured":"Kagerman, H., Anderl, R., Gausemeier J., Schuh G., Wahlster, W.: Industrie 4.0 in a Global Context: Strategies for Cooperating with International Partners. Acatech Study, Munich, Germany (2016). https:\/\/www.acatech"},{"key":"42_CR34","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1016\/j.sysarc.2017.10.007","volume":"81","author":"CJ Kuo","year":"2017","unstructured":"Kuo, C.J., Ting, K.C., Chen, Y.C., Yang, D.L., Chen, H.M.: Automatic machine status prediction in the era of Industry 4.0: case study of machines in a spring factory. J. Syst. Archit. 81, 44\u201353 (2017)","journal-title":"J. Syst. Archit."},{"key":"42_CR35","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1007\/978-3-540-25945-9_10","volume-title":"Current Topics in Artificial Intelligence","author":"R Laza","year":"2004","unstructured":"Laza, R., Pav\u00f3n, R., Corchado, J.M.: A reasoning model for CBR_BDI agents using an adaptable fuzzy inference system. In: Conejo, R., Urretavizcaya, M., P\u00e9rez-de-la-Cruz, J.-L. (eds.) CAEPIA\/TTIA -2003. LNCS (LNAI), vol. 3040, pp. 96\u2013106. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-25945-9_10"},{"key":"42_CR36","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.sigpro.2015.07.013","volume":"119","author":"T Li","year":"2016","unstructured":"Li, T., Sun, S., Boli\u0107, M., Corchado, J.M.: Algorithm design for parallel implementation of the SMC-PHD filter. Sig. Process. 119, 115\u2013127 (2016)","journal-title":"Sig. Process."},{"key":"42_CR37","unstructured":"Li, T., Sun, S., Corchado, J. M., Siyau, M.F.: Random finite set-based Bayesian filters using magnitude-adaptive target birth intensity. In: FUSION 2014 - 17th International Conference on Information Fusion (2014)"},{"key":"42_CR38","first-page":"756","volume":"270","author":"ACES Lima","year":"2015","unstructured":"Lima, A.C.E.S., De Castro, L.N., Corchado, J.M.: A polarity analysis framework for Twitter messages. Appl. Math. Comput. 270, 756\u2013767 (2015)","journal-title":"Appl. Math. Comput."},{"issue":"4","key":"42_CR39","doi-asserted-by":"publisher","first-page":"8239","DOI":"10.1016\/j.eswa.2008.10.003","volume":"36","author":"A Mata","year":"2009","unstructured":"Mata, A., Corchado, J.M.: Forecasting the probability of finding oil slicks using a CBR system. Expert Syst. Appl. 36(4), 8239\u20138246 (2009)","journal-title":"Expert Syst. Appl."},{"key":"42_CR40","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1007\/11790853_9","volume-title":"Advances in Data Mining. Applications in Medicine, Web Mining, Marketing, Image and Signal Mining","author":"JR M\u00e9ndez","year":"2006","unstructured":"M\u00e9ndez, J.R., Fern\u00e1ndez-Riverola, F., D\u00edaz, F., Iglesias, E.L., Corchado, J.M.: A comparative performance study of feature selection methods for the anti-spam filtering domain. In: Perner, P. (ed.) ICDM 2006. LNCS (LNAI), vol. 4065, pp. 106\u2013120. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11790853_9"},{"key":"42_CR41","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1007\/11805816_37","volume-title":"Advances in Case-Based Reasoning","author":"JR M\u00e9ndez","year":"2006","unstructured":"M\u00e9ndez, J.R., Fdez-Riverola, F., Iglesias, E.L., D\u00edaz, F., Corchado, J.M.: Tracking concept drift at feature selection stage in SpamHunting: an anti-spam instance-based reasoning system. In: Roth-Berghofer, T.R., G\u00f6ker, M.H., G\u00fcvenir, H.A. (eds.) ECCBR 2006. LNCS (LNAI), vol. 4106, pp. 504\u2013518. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11805816_37"},{"issue":"3","key":"42_CR42","doi-asserted-by":"publisher","first-page":"63","DOI":"10.14201\/ADCAIJ2016536371","volume":"5","author":"JL Monino","year":"2016","unstructured":"Monino, J.L., Sedkaoui, S.: The algorithm of the snail: an example to grasp the window of opportunity to boost Big Data. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. 5(3), 63\u201371 (2016)","journal-title":"ADCAIJ: Adv. Distrib. Comput. Artif. Intell."},{"issue":"2","key":"42_CR43","doi-asserted-by":"publisher","first-page":"71","DOI":"10.14201\/ADCAIJ2017627184","volume":"6","author":"G Parente Farias","year":"2017","unstructured":"Parente Farias, G., Fraga Pereira, R., Hilgert, L.W., Meneguzzi, F., Vieira, R., Bordini, R.: Predicting plan failure by monitoring action sequences and duration. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(2), 71\u201384 (2017)","journal-title":"ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J."},{"issue":"4","key":"42_CR44","doi-asserted-by":"publisher","first-page":"1585","DOI":"10.1109\/TSP.2012.2183126","volume":"60","author":"J Prieto","year":"2012","unstructured":"Prieto, J., Mazuelas, S., Bahillo, A., Fernandez, P., Lorenzo, R.M., Abril, E.J.: Adaptive data fusion for wireless localization in harsh environments. IEEE Trans. Sig. Process. 60(4), 1585\u20131596 (2012)","journal-title":"IEEE Trans. Sig. Process."},{"key":"42_CR45","doi-asserted-by":"crossref","unstructured":"Prieto, J., Mazuelas, S., Bahillo, A., Fern\u00e1ndez, P., Lorenzo, R.M., Abril, E.J.: On the minimization of different sources of error for an RTT-based indoor localization system without any calibration stage. In: International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp. 1\u20136 (2010)","DOI":"10.1109\/IPIN.2010.5647832"},{"key":"42_CR46","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/978-3-642-13803-4_12","volume-title":"Hybrid Artificial Intelligence Systems","author":"S Rodr\u00edguez","year":"2010","unstructured":"Rodr\u00edguez, S., de la Prieta, F., Tapia, D.I., Corchado, J.M.: Agents and computer vision for processing stereoscopic images. In: Corchado, E., Gra\u00f1a Romay, M., Manhaes Savio, A. (eds.) HAIS 2010. LNCS (LNAI), vol. 6077, pp. 93\u2013100. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13803-4_12"},{"key":"42_CR47","doi-asserted-by":"crossref","unstructured":"Rodr\u00edguez, S., Gil, O., de la Prieta, F., Zato, C., Corchado, J.M., Vega, P., Francisco, M.: People detection and stereoscopic analysis using MAS. In: Proceedings of INES 2010 - 14th International Conference on Intelligent Engineering Systems, pp. 159\u2013164. IEEE (2010)","DOI":"10.1109\/INES.2010.5483855"},{"key":"42_CR48","series-title":"IFIP Advances in Information and Communication Technology","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/978-3-642-14341-0_29","volume-title":"Balanced Automation Systems for Future Manufacturing Networks","author":"S Rodr\u00edguez","year":"2010","unstructured":"Rodr\u00edguez, S., Tapia, D.I., Sanz, E., Zato, C., de la Prieta, F., Gil, O.: Cloud computing integrated into service-oriented multi-agent architecture. In: Ortiz, \u00c1., Franco, R.D., Gasquet, P.G. (eds.) BASYS 2010. IAICT, vol. 322, pp. 251\u2013259. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-14341-0_29"},{"key":"42_CR49","first-page":"37","volume":"616","author":"JA Rom\u00e1n","year":"2016","unstructured":"Rom\u00e1n, J.A., Rodr\u00edguez, S., de la Prieta, F.: Improving the distribution of services in MAS. Commun. Comput. Inf. Sci. 616, 37\u201346 (2016)","journal-title":"Commun. Comput. Inf. Sci."},{"issue":"4","key":"42_CR50","doi-asserted-by":"publisher","first-page":"1716","DOI":"10.1214\/15-AOS1321","volume":"43","author":"E Scornet","year":"2015","unstructured":"Scornet, E., Biau, G., Vert, J.P.: Consistency of random forests. Ann. Stat. 43(4), 1716\u20131741 (2015)","journal-title":"Ann. Stat."},{"key":"42_CR51","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1007\/978-3-319-61578-3_31","volume-title":"Trends in Cyber-Physical Multi-Agent Systems","author":"I Sitt\u00f3n","year":"2018","unstructured":"Sitt\u00f3n, I., Rodr\u00edguez, S.: Pattern extraction for the design of predictive models in Industry 4.0. In: de la Prieta, F., et al. (eds.) PAAMS 2017. AISC, vol. 619, pp. 258\u2013261. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-61578-3_31"},{"issue":"1","key":"42_CR52","doi-asserted-by":"publisher","first-page":"15","DOI":"10.4018\/jaci.2009010102","volume":"1","author":"DI Tapia","year":"2009","unstructured":"Tapia, D.I., Corchado, J.M.: An ambient intelligence based multi-agent system for Alzheimer health care. Int. J. Ambient Comput. Intell. 1(1), 15\u201326 (2009)","journal-title":"Int. J. Ambient Comput. Intell."},{"key":"42_CR53","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.ins.2011.05.002","volume":"222","author":"DI Tapia","year":"2013","unstructured":"Tapia, D.I., Fraile, J.A., Rodr\u00edguez, S., Alonso, R.S., Corchado, J.M.: Integrating hardware agents into an enhanced multi-agent architecture for ambient intelligence systems. Inf. Sci. 222, 47\u201365 (2013)","journal-title":"Inf. Sci."},{"key":"42_CR54","doi-asserted-by":"publisher","first-page":"350","DOI":"10.1016\/j.neucom.2017.01.026","volume":"237","author":"L Zhou","year":"2017","unstructured":"Zhou, L., Pan, S., Wang, J., Vasilakos, A.V.: Machine learning on Big Data: opportunities and challenges. Neurocomputing 237, 350\u2013361 (2017)","journal-title":"Neurocomputing"}],"container-title":["Communications in Computer and Information Science","Knowledge Management in Organizations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-95204-8_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T04:09:44Z","timestamp":1729397384000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-95204-8_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319952031","9783319952048"],"references-count":54,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-95204-8_42","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}