{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T15:24:59Z","timestamp":1773415499950,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":40,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642397356","type":"print"},{"value":"9783642397363","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-39736-3_8","type":"book-chapter","created":{"date-parts":[[2013,7,11]],"date-time":"2013-07-11T08:44:59Z","timestamp":1373532299000},"page":"99-111","source":"Crossref","is-referenced-by-count":7,"title":["Wastewater Treatment Plant Performance Prediction with Support Vector Machines"],"prefix":"10.1007","author":[{"given":"Daniel","family":"Ribeiro","sequence":"first","affiliation":[]},{"given":"Ant\u00f3nio","family":"Sanfins","sequence":"additional","affiliation":[]},{"given":"Orlando","family":"Belo","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"8_CR1","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1007\/11941439_40","volume-title":"AI 2006: Advances in Artificial Intelligence","author":"S. Ali","year":"2006","unstructured":"Ali, S., Smith-Miles, K.A.: Improved Support Vector Machine Generalization Using Normalized Input Space. In: Sattar, A., Kang, B.-H. (eds.) AI 2006. LNCS (LNAI), vol.\u00a04304, pp. 362\u2013371. Springer, Heidelberg (2006)"},{"key":"8_CR2","unstructured":"Atanasova, N., Kompare, B.: Modelling of Wastewater Treatment Plant with Decision and Regression Trees. In: 3rd Workshop on Binding Environmental Sciences and Artificial Intelligence (2002a)"},{"key":"8_CR3","unstructured":"Atanasova, N., Kompare, B.: Modelling of waste water treatment plant with regression trees. In: Proc. of the Third International Conference on Data Mining. WIT Press, Bologna (2002b)"},{"issue":"5","key":"8_CR4","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1016\/S1364-8152(98)00102-9","volume":"14","author":"L.A. Belanche","year":"1999","unstructured":"Belanche, L.A., et al.: Towards a Model of Input-Output Behaviour of Wastewater Treatment Plants using Soft Computing Techniques. Environmental Modeling and Software\u00a014(5), 409\u2013419 (1999)","journal-title":"Environmental Modeling and Software"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Boser, B.E., Guyon, I.M., Vapnik, V.N.: A training algorithm for optimal margin classifiers. In: Haussler, D. (ed.) Proceedings of the Fifth Annual Workshop on Computational Learning Theory, COLT 1992. ACM Press (1992)","DOI":"10.1145\/130385.130401"},{"issue":"2","key":"8_CR6","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1023\/A:1009715923555","volume":"2","author":"C.J.C. Burges","year":"1998","unstructured":"Burges, C.J.C.: A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery\u00a02(2), 121\u2013167 (1998)","journal-title":"Data Mining and Knowledge Discovery"},{"issue":"1","key":"8_CR7","first-page":"69","volume":"LXII","author":"M. C\u0103rbureanu","year":"2010","unstructured":"C\u0103rbureanu, M.: Pollution Level Analysis of a Wastewater Treatment Plant Emissary using Data Mining. Petroleum-Gas University of Ploie\u015fti Bulletin Mathematics-Informatics-Physics Series\u00a0LXII(1), 69\u201378 (2010)","journal-title":"Petroleum-Gas University of Ploie\u015fti Bulletin Mathematics-Informatics-Physics Series"},{"issue":"3","key":"8_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"C.-C. Chang","year":"2011","unstructured":"Chang, C.-C., Lin, C.-J.: LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology\u00a02(3), 27:1\u201327:27 (2011)","journal-title":"ACM Transactions on Intelligent Systems and Technology"},{"issue":"3","key":"8_CR9","first-page":"273","volume":"20","author":"C. Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Machine Learning\u00a020(3), 273\u2013297 (1995)","journal-title":"Machine Learning"},{"key":"8_CR10","series-title":"ISRL","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1007\/978-3-642-23241-1_2","volume-title":"Data Mining: Foundations and Intelligent Paradigms","author":"P. Cortez","year":"2012","unstructured":"Cortez, P.: Data Mining with Multilayer Perceptrons and Support Vector Machines. In: Holmes, D.E., Jain, L.C. (eds.) Data Mining: Found. & Intell. Paradigms. ISRL, vol.\u00a024, pp. 9\u201325. Springer, Heidelberg (2012)"},{"issue":"1","key":"8_CR11","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/s11063-006-9009-6","volume":"24","author":"P. Cortez","year":"2006","unstructured":"Cortez, P., et al.: Lamb Meat Quality Assessment by Support Vector Machines. Processing Letters\u00a024(1), 41\u201351 (2006)","journal-title":"Processing Letters"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"D\u00fcrrenmatt, D.J.: Data Mining and Data-Driven Modelling Approaches to Support Wastewater Treatment Plant Operation. PhD Thesis. ETH, Zurique (2011)","DOI":"10.1016\/j.envsoft.2011.11.007"},{"issue":"8","key":"8_CR13","doi-asserted-by":"publisher","first-page":"987","DOI":"10.1016\/j.conengprac.2006.11.010","volume":"15","author":"M. Dixon","year":"2007","unstructured":"Dixon, M., et al.: Data mining to support anaerobic WWTP monitoring. Control Engineering Practice\u00a015(8), 987\u2013999 (2007)","journal-title":"Control Engineering Practice"},{"key":"8_CR14","first-page":"155","volume":"1","author":"H. Drucker","year":"1997","unstructured":"Drucker, H., et al.: Support vector regression machines. Electronic Engineering\u00a01, 155\u2013161 (1997)","journal-title":"Electronic Engineering"},{"key":"8_CR15","unstructured":"Flexer, A.: Statistical Evaluation of Neural Network Experiments: Minimum Requirements and Current Practice. In: 3th European Meeting on Cybernetics and Systems Research (1996)"},{"key":"8_CR16","unstructured":"Gallop, J.R., et al.: The use of data mining for the monitoring and control of anaerobic wastewater plants. In: 4th International Workshop on Environmental Applications of Machine Learning (2004)"},{"issue":"7-8","key":"8_CR17","first-page":"1157","volume":"3","author":"I. Guyon","year":"2003","unstructured":"Guyon, I., Elisseeff, A.: An Introduction to Variable and Feature Selection. Journal of Machine Learning Research\u00a03(7-8), 1157\u20131182 (2003)","journal-title":"Journal of Machine Learning Research"},{"issue":"10","key":"8_CR18","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1016\/j.envsoft.2003.10.005","volume":"19","author":"M.M. Hamed","year":"2004","unstructured":"Hamed, M.M., Khalafallah, M.G., Hassanien, E.A.: Prediction of wastewater treatment plant performance using artificial neural networks. Environmental Modelling Software\u00a019(10), 919\u2013928 (2004)","journal-title":"Environmental Modelling Software"},{"key":"8_CR19","doi-asserted-by":"crossref","unstructured":"Hong, Y., Fei, L., Yuge, X., Jin, L.: GA Based LS-SVM Classifier for Waste Water Treatment Process. In: 27th Chinese Control Conference (2008)","DOI":"10.1109\/CHICC.2008.4605860"},{"issue":"1","key":"8_CR20","first-page":"1","volume":"1","author":"C.-W. Hsu","year":"2010","unstructured":"Hsu, C.-W., Chang, C.-C., Lin, C.-J.: A Practical Guide to Support Vector Classification. Bioinformatics\u00a01(1), 1\u201316 (2010)","journal-title":"Bioinformatics"},{"key":"8_CR21","doi-asserted-by":"crossref","unstructured":"Huang, Z., Luo, J., Li, X., Zhou, Y.: Prediction of Effluent Parameters of Wastewater Treatment Plant Based on Improved Least Square Support Vector Machine with PSO. In: 1st International Conference on Information Science and Engineering, ICISE (2009)","DOI":"10.1109\/ICISE.2009.846"},{"issue":"11","key":"8_CR22","doi-asserted-by":"publisher","first-page":"3735","DOI":"10.1016\/j.csda.2009.04.009","volume":"53","author":"J.-H. Kim","year":"2009","unstructured":"Kim, J.-H.: Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap. Computational Statistics and Data Analysis\u00a053(11), 3735\u20133745 (2009)","journal-title":"Computational Statistics and Data Analysis"},{"key":"8_CR23","unstructured":"Kohavi, R.: A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection. In: International Joint Conference on Artificial Intelligence, Montreal, Canada (1995)"},{"issue":"1-2","key":"8_CR24","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/S0004-3702(97)00043-X","volume":"97","author":"R. Kohavi","year":"1997","unstructured":"Kohavi, R., John, G.H.: Wrappers for feature subset selection. Artificial Intelligence\u00a097(1-2), 273\u2013324 (1997)","journal-title":"Artificial Intelligence"},{"key":"8_CR25","doi-asserted-by":"crossref","unstructured":"Luengo, J., Garc\u00eda, S., Herrera, F.: On the choice of the best imputation methods for missing values considering three groups of classification methods. Knowledge and Information Systems, 1\u201332 (2011)","DOI":"10.1007\/s10115-011-0424-2"},{"key":"8_CR26","doi-asserted-by":"crossref","unstructured":"Luo, F., Yu, R.-H., Xu, Y.-G., Li, Y.: Effluent Quality Prediction of Wastewater Treatment Plant Based on Fuzzy-Rough Sets and Artificial Neural Networks. In: Sixth International Conference on Fuzzy Systems and Knowledge Discovery - FSKD 2009 (2009)","DOI":"10.1109\/FSKD.2009.494"},{"key":"8_CR27","unstructured":"Metcafl, Eddy: Wastewater Engineering: Treatment and Reuse, 4th edn. McGraw-Hill (2003)"},{"issue":"15","key":"8_CR28","doi-asserted-by":"publisher","first-page":"3301","DOI":"10.1093\/bioinformatics\/bti499","volume":"21","author":"A.M. Molinaro","year":"2005","unstructured":"Molinaro, A.M., Simon, R., Pfeiffer, R.M.: Prediction error estimation: a comparison of resampling methods. Bioinformatics\u00a021(15), 3301\u20133307 (2005)","journal-title":"Bioinformatics"},{"key":"8_CR29","first-page":"1","volume":"11","author":"J.C. Platt","year":"1999","unstructured":"Platt, J.C.: Using Analytic QP and Sparseness to Speed Training of Support Vector Machines. Optimization\u00a011, 1\u20138 (1999)","journal-title":"Optimization"},{"key":"8_CR30","volume-title":"Data Preparation for Data Mining","author":"D. Pyle","year":"1999","unstructured":"Pyle, D.: Data Preparation for Data Mining. Morgan Kaufmann Publishers, Inc., San Francisco (1999)"},{"issue":"5","key":"8_CR31","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1162\/089976600300015565","volume":"12","author":"B. Sch\u00f6lkopf","year":"2000","unstructured":"Sch\u00f6lkopf, B., Smola, A., Williamson, R., Bartlett, P.L.: New support vector algorithms. Neural Computation\u00a012(5), 1207\u20131245 (2000)","journal-title":"Neural Computation"},{"issue":"5","key":"8_CR32","doi-asserted-by":"publisher","first-page":"1188","DOI":"10.1109\/72.870050","volume":"11","author":"S.K. Shevade","year":"2000","unstructured":"Shevade, S.K., Keerthi, S.S., Bhattacharyya, C., Murthy: Improvements to the SMO Algorithm for SVM Regression. IEEE Transactions on Neural Networks\u00a011(5), 1188\u20131193 (2000)","journal-title":"IEEE Transactions on Neural Networks"},{"issue":"3","key":"8_CR33","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1023\/B:STCO.0000035301.49549.88","volume":"14","author":"A.J. Smola","year":"2004","unstructured":"Smola, A.J., Sch\u00f6lkopf, B.: A tutorial on support vector regression. Statistics and Computing\u00a014(3), 199\u2013222 (2004)","journal-title":"Statistics and Computing"},{"key":"8_CR34","doi-asserted-by":"crossref","unstructured":"Vapnik, V.N.: The Nature of Statistical Learning Theory, 2nd edn., New York (1995)","DOI":"10.1007\/978-1-4757-2440-0"},{"issue":"5","key":"8_CR35","doi-asserted-by":"publisher","first-page":"988","DOI":"10.1109\/72.788640","volume":"10","author":"V.N. Vapnik","year":"1999","unstructured":"Vapnik, V.N.: An overview of statistical learning theory. IEEE Transactions on Neural Networks\u00a010(5), 988\u2013999 (1999)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"8_CR36","unstructured":"Vapnik, V.N., Chervonenkis, A.Y.: Theory of pattern recognition. Nauka, Moscow (1974) (in Russian)"},{"key":"8_CR37","unstructured":"Wang, L.-J., Chen, C.-B.: Support Vector Machine Applying in the Prediction of Effluent Quality of Sewage Treatment Plant with Cyclic Activated Sludge System Process. In: IEEE International Symposium on Knowledge Acquisition and Modeling Workshop. KAM Workshop 2008 (2008)"},{"key":"8_CR38","unstructured":"WEKA, n.d. Class SMOReg, http:\/\/weka.sourceforge.net\/doc\/weka\/classifiers\/functions\/SMOreg.html (accessed July 2, 2012)"},{"key":"8_CR39","unstructured":"Witten, I.H., Frank, E., Hall, M.A.: Data Minig: Pratical Machine Learnign Tools and Tecniques, 3rd edn. Morgan Kaufmann (2011)"},{"key":"8_CR40","unstructured":"Yang, B.-l., Zhao, D.-A., Zhang, J.: Prediction system of sewage outflow COD based on LS-SVM. In: 2nd International Conference on Intelligent Control and Information Processing, ICICIP (2011)"}],"container-title":["Lecture Notes in Computer Science","Advances in Data Mining. Applications and Theoretical Aspects"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-39736-3_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,18]],"date-time":"2019-07-18T01:19:39Z","timestamp":1563412779000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-39736-3_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642397356","9783642397363"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-39736-3_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013]]}}}