{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T17:33:08Z","timestamp":1779384788179,"version":"3.53.1"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2016,9,7]],"date-time":"2016-09-07T00:00:00Z","timestamp":1473206400000},"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":["Appl Intell"],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1007\/s10489-016-0843-6","type":"journal-article","created":{"date-parts":[[2016,9,7]],"date-time":"2016-09-07T09:29:44Z","timestamp":1473240584000},"page":"455-469","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":100,"title":["Feature weighting and SVM parameters optimization based on genetic algorithms for classification problems"],"prefix":"10.1007","volume":"46","author":[{"given":"Anh Viet","family":"Phan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minh Le","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lam Thu","family":"Bui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2016,9,7]]},"reference":[{"issue":"2","key":"843_CR1","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.eswa.2005.09.024","volume":"31","author":"W Huang","year":"2006","unstructured":"Huang W, Cheng-Lung, Chieh-Jen (2006) A ga-based feature selection and parameters optimization for support vector machines. Expert Syst Appl 31(2):231\u2013240","journal-title":"Expert Syst Appl"},{"issue":"4","key":"843_CR2","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1016\/j.patrec.2006.08.016","volume":"28","author":"MA Tahir","year":"2007","unstructured":"Tahir MA, Bouridane A, Kurugollu F (2007) Simultaneous feature selection and feature weighting using hybrid tabu search\/k-nearest neighbor classifier. Pattern Recogn Lett 28(4):438\u2013446","journal-title":"Pattern Recogn Lett"},{"issue":"1\u20135","key":"843_CR3","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1023\/A:1006593614256","volume":"11","author":"D Wettschereck","year":"1997","unstructured":"Wettschereck D, Aha DW, Mohri T (1997) A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms. Artif Intell Rev 11(1\u20135):273\u2013314","journal-title":"Artif Intell Rev"},{"issue":"2","key":"843_CR4","doi-asserted-by":"crossref","first-page":"35","DOI":"10.14257\/ijunesst.2015.8.2.04","volume":"8","author":"B Li","year":"2015","unstructured":"Li B, Chen N, Wen J, Jin X, Shi Y (2015) Text categorization system for stock prediction. Int J u-and e-Serv Sci Technol 8(2):35\u201344","journal-title":"Int J u-and e-Serv Sci Technol"},{"key":"843_CR5","doi-asserted-by":"crossref","unstructured":"Bautista RMJS, Navata VJL, Ng AH, Santos M, Timothy S, Albao JD, Roxas EA (2015) Recognition of handwritten alphanumeric characters using projection histogram and support vector machine. In: International conference on humanoid, nanotechnology, information technology, communication and control, environment and management (HNICEM), 2015. IEEE, pp 1\u20136","DOI":"10.1109\/HNICEM.2015.7393256"},{"key":"843_CR6","doi-asserted-by":"crossref","unstructured":"Foody GM (2015) The effect of mis-labeled training data on the accuracy of supervised image classification by svm. In: IEEE international geoscience and remote sensing symposium (IGARSS), 2015. IEEE, pp 4987\u20134990","DOI":"10.1109\/IGARSS.2015.7326952"},{"key":"843_CR7","unstructured":"Bejerano G (2003) Automata learning and stochastic modeling for biosequence analysis. Citeseer"},{"key":"843_CR8","doi-asserted-by":"crossref","unstructured":"Fr\u00f6hlich CO, Holger, Sch\u00f6lkopf B (2003) Feature selection for support vector machines by means of genetic algorithm. In: Proceedings of 15th IEEE international conference on the international journal on artificial intelligence tools, 2003. IEEE, pp 142\u2013148","DOI":"10.1109\/TAI.2003.1250182"},{"key":"843_CR9","unstructured":"Hsu CC-CLC-J, Chih-Wei et al (2003) A practical guide to support vector classification"},{"issue":"7\u20138","key":"843_CR10","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1177\/0278364904045481","volume":"23","author":"BMSL LaValle","year":"2004","unstructured":"LaValle BMSL, Steven MSR (2004) On the relationship between classical grid search and probabilistic roadmaps. Int J Robot Res 23(7\u20138):673\u2013692","journal-title":"Int J Robot Res"},{"issue":"7","key":"843_CR11","doi-asserted-by":"crossref","first-page":"1229","DOI":"10.1016\/0098-3004(94)90072-8","volume":"20","author":"S Gallagher","year":"1994","unstructured":"Gallagher S, Kerry, Malcolm (1994) Genetic algorithms: a powerful tool for large-scale nonlinear optimization problems. Comput Geosci 20(7):1229\u20131236","journal-title":"Comput Geosci"},{"key":"843_CR12","unstructured":"Punch III WF, Goodman ED, Pei M, Chia-Shun L, Hovland PD, Enbody RJ (1993) Further research on feature selection and classification using genetic algorithms. In: ICGA, pp 557\u2013 564"},{"key":"843_CR13","doi-asserted-by":"crossref","unstructured":"Anirudha R, Kannan R, Patil N (2014) Genetic algorithm based wrapper feature selection on hybrid prediction model for analysis of high dimensional data. In: 9th international conference on industrial and information systems (ICIIS), 2014. IEEE, pp 1\u2013 6","DOI":"10.1109\/ICIINFS.2014.7036522"},{"key":"843_CR14","unstructured":"Kelly JD (1991) A hybrid genetic algorithm for classification. In: Proceedings of the 12th international joint conference on artificial intelligence. Morgan Kaufmann, pp 645\u2013650"},{"issue":"3","key":"843_CR15","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1016\/j.eswa.2005.09.070","volume":"31","author":"S-H Min","year":"2006","unstructured":"Min S-H, Lee H, Jumin, Ingoo (2006) Hybrid genetic algorithms and support vector machines for bankruptcy prediction. Expert Syst Appl 31(3):652\u2013660","journal-title":"Expert Syst Appl"},{"key":"843_CR16","doi-asserted-by":"crossref","unstructured":"Silva DA, Silva JP, Neto ARR (2015) Novel approaches using evolutionary computation for sparse least square support vector machines. Neurocomputing 168:908\u2013916","DOI":"10.1016\/j.neucom.2015.05.034"},{"key":"843_CR17","unstructured":"Wu C-H, Tzeng G-H, Goo Y-J, Fang W-C (2007) A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy. Expert Syst Appl 32(2):397\u2013408"},{"key":"843_CR18","doi-asserted-by":"crossref","unstructured":"Raymer ML, Punch WF, Goodman ED, Kuhn L, Jain AK et al (2000) Dimensionality reduction using genetic algorithms. IEEE Trans Evol Comput 4(2):164\u2013171","DOI":"10.1109\/4235.850656"},{"issue":"1","key":"843_CR19","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1162\/neco.1995.7.1.72","volume":"7","author":"DG Lowe","year":"1995","unstructured":"Lowe DG (1995) Similarity metric learning for a variable-kernel classifier. Neural Comput 7(1):72\u201385","journal-title":"Neural Comput"},{"issue":"9","key":"843_CR20","doi-asserted-by":"crossref","first-page":"1281","DOI":"10.1109\/TPAMI.2002.1033219","volume":"24","author":"C Domeniconi","year":"2002","unstructured":"Domeniconi C, Peng J, Gunopulos D (2002) Locally adaptive metric nearest-neighbor classification. IEEE Trans Pattern Anal Mach Intell 24(9):1281\u20131285","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"12","key":"843_CR21","doi-asserted-by":"crossref","first-page":"1027","DOI":"10.1016\/S0167-8655(00)00064-7","volume":"21","author":"R Paredes","year":"2000","unstructured":"Paredes R, Vidal E (2000) A class-dependent weighted dissimilarity measure for nearest neighbor classification problems. Pattern Recogn Lett 21(12):1027\u20131036","journal-title":"Pattern Recogn Lett"},{"key":"843_CR22","unstructured":"Guvenir A, Altay H Aynur, Weighted k nearest neighbor classification on feature projections. In: Proceedings of the 12th international symposium on computer and information sciences. Antalya, p 1997"},{"issue":"3","key":"843_CR23","doi-asserted-by":"crossref","first-page":"1487","DOI":"10.1016\/j.eswa.2014.09.019","volume":"42","author":"J Wu","year":"2015","unstructured":"Wu J, Pan S, Zhu X, Cai Z, Zhang P, Zhang C (2015) Self-adaptive attribute weighting for naive bayes classification. Expert Syst Appl 42(3):1487\u20131502","journal-title":"Expert Syst Appl"},{"key":"843_CR24","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.knosys.2015.04.020","volume":"85","author":"C-H Lee","year":"2015","unstructured":"Lee C-H (2015) A gradient approach for value weighted classification learning in naive bayes. Knowl-Based Syst 85:71\u201379","journal-title":"Knowl-Based Syst"},{"issue":"12","key":"843_CR25","doi-asserted-by":"crossref","first-page":"3941","DOI":"10.1016\/j.patcog.2014.06.012","volume":"47","author":"JA S\u00e1ez","year":"2014","unstructured":"S\u00e1ez JA, Derrac J, Luengo J, Herrera F (2014) Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers. Pattern Recogn 47(12):3941\u20133948","journal-title":"Pattern Recogn"},{"issue":"5\u20136","key":"843_CR26","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1080\/713827181","volume":"17","author":"GE Batista","year":"2003","unstructured":"Batista GE, Monard MC (2003) An analysis of four missing data treatment methods for supervised learning. Appl Artif Intell 17(5\u20136):519\u2013533","journal-title":"Appl Artif Intell"},{"key":"843_CR27","doi-asserted-by":"crossref","unstructured":"Honghai F, Guoshun C, Cheng Y, Bingru Y, Yumei C (2005) A svm regression based approach to filling in missing values. In: Knowledge-based intelligent information and engineering systems. Springer, pp 581\u2013587","DOI":"10.1007\/11553939_83"},{"key":"843_CR28","doi-asserted-by":"crossref","unstructured":"Grzymala-Busse JW, Goodwin LK, Grzymala-Busse WJ, Zheng X (2005) Handling missing attribute values in preterm birth data sets. In: Rough sets, fuzzy sets, data mining, and granular computing. Springer, pp 342\u2013351","DOI":"10.1007\/11548706_36"},{"key":"843_CR29","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.engappai.2016.02.002","volume":"52","author":"L Jiang","year":"2016","unstructured":"Jiang L, Li C, Wang S, Zhang L (2016) Deep feature weighting for naive bayes and its application to text classification. Eng Appl Artif Intell 52:26\u201339","journal-title":"Eng Appl Artif Intell"},{"key":"843_CR30","doi-asserted-by":"crossref","unstructured":"Xiang Z-L, Yu X-R, Kang D-K (2015) Experimental analysis of na\u00efve bayes classifier based on an attribute weighting framework with smooth kernel density estimations Appl Intell:1\u201310","DOI":"10.1007\/s10489-015-0719-1"},{"key":"843_CR31","unstructured":"Mohri M, Rostamizadeh A, Talwalkar A (2012) Foundations of machine learning. MIT press"},{"key":"843_CR32","doi-asserted-by":"crossref","unstructured":"Mitchell Melanie (1998) An introduction to genetic algorithms. MIT press","DOI":"10.4324\/9780203360538-1"},{"issue":"2","key":"843_CR33","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1023\/A:1022602019183","volume":"3","author":"H Goldberg","year":"1988","unstructured":"Goldberg H, David EJH (1988) Genetic algorithms and machine learning. Mach Learn 3(2):95\u201399","journal-title":"Mach Learn"},{"key":"843_CR34","unstructured":"V. A. Phan, L. T. Bui (2013) Genetic algorithm and application for supporting working schedule at hospitals, LQDTU Journal of Science and Technology: The Section on Information and Communication Technology (LQDTU-JICT) 2(4):92\u2013104"},{"key":"843_CR35","unstructured":"Davis L Handbook of genetic algorithms"},{"issue":"3","key":"843_CR36","first-page":"27","volume":"2","author":"C-C Chang","year":"2011","unstructured":"Chang C.-C., Lin C.-J. (2011) Libsvm: A library for support vector machines. ACM Trans Intell Syst Technol (TIST) 2(3):27","journal-title":"ACM Trans Intell Syst Technol (TIST)"},{"issue":"7","key":"843_CR37","doi-asserted-by":"crossref","first-page":"628","DOI":"10.1002\/asi.20009","volume":"55","author":"W Fan","year":"2004","unstructured":"Fan W, Fox EA, Pathak P, Wu H (2004) The effects of fitness functions on genetic programming-based ranking discovery for web search. J Am Soc Inf Sci Technol 55(7):628\u2013636","journal-title":"J Am Soc Inf Sci Technol"},{"key":"843_CR38","unstructured":"Hettich BCLM, Seth CJ Uci repository of machine learning databases. University of California, Department of Information and Computer Science, Irvine"},{"key":"843_CR39","unstructured":"DeLeo JM, Rosenfeld SJ (2001) Essential roles for receiver operating characteristic (roc) methodology in classifier neural network applications. In: Proceedings of international joint conference on neural networks, 2001 (IJCNN\u201901), vol 4. IEEE, pp 2730\u20132731"},{"issue":"1","key":"843_CR40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1007730.1007733","volume":"6","author":"NV Chawla","year":"2004","unstructured":"Chawla NV, Japkowicz N, Kotcz A (2004) Editorial: special issue on learning from imbalanced data sets. ACM Sigkdd Explor Newsl 6(1):1\u20136","journal-title":"ACM Sigkdd Explor Newsl"},{"issue":"4","key":"843_CR41","first-page":"42","volume":"2","author":"Vaishali Ganganwar","year":"2012","unstructured":"Ganganwar Vaishali (2012) An overview of classification algorithms for imbalanced datasets. Int J Emerg Technol Adv Eng 2(4):42\u201347","journal-title":"Int J Emerg Technol Adv Eng"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10489-016-0843-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-016-0843-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-016-0843-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,13]],"date-time":"2019-09-13T07:17:25Z","timestamp":1568359045000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10489-016-0843-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9,7]]},"references-count":41,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2017,3]]}},"alternative-id":["843"],"URL":"https:\/\/doi.org\/10.1007\/s10489-016-0843-6","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,9,7]]}}}