{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T21:39:10Z","timestamp":1773524350483,"version":"3.50.1"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2013,4,10]],"date-time":"2013-04-10T00:00:00Z","timestamp":1365552000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Memetic Comp."],"published-print":{"date-parts":[[2013,9]]},"DOI":"10.1007\/s12293-013-0114-6","type":"journal-article","created":{"date-parts":[[2013,4,9]],"date-time":"2013-04-09T06:53:03Z","timestamp":1365490383000},"page":"165-177","source":"Crossref","is-referenced-by-count":8,"title":["Employment of neural network and rough set in meta-learning"],"prefix":"10.1007","volume":"5","author":[{"given":"Mostafa A.","family":"Salama","sequence":"first","affiliation":[]},{"given":"Aboul Ella","family":"Hassanien","sequence":"additional","affiliation":[]},{"given":"Kenneth","family":"Revett","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,4,10]]},"reference":[{"key":"114_CR1","unstructured":"Gibert K, Sanchez-Marre M, Codina V (2010) Choosing the right data mining technique: classification of methods and intelligent recommendation. In: Proceedings of the IEMSs fifth biennial meeting: international congress on, environmental modelling and software, pp 1933\u20131940"},{"issue":"1","key":"114_CR2","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1186\/1471-2105-13-59","volume":"13","author":"J Zhuang","year":"2012","unstructured":"Zhuang J, Widschwendter M, Teschendorff AE (2012) A comparison of feature selection and classification methods in DNA methylation studies using the Illumina Infinium platform. BMC Bioinforma 13(1):59\u201374","journal-title":"BMC Bioinforma"},{"issue":"3","key":"114_CR3","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1017\/S0269888997003123","volume":"12","author":"AJC Sharkey","year":"1997","unstructured":"Sharkey AJC, Sharkey NE (1997) Combining diverse neural nets. Knowl Eng Rev 12(3):231\u2013247","journal-title":"Knowl Eng Rev"},{"key":"114_CR4","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.inffus.2004.04.008","volume":"6","author":"D Ruta","year":"2005","unstructured":"Ruta D, Gabrys B (2005) Classifier selection for majority voting. Inf Fusion 6:63\u201381","journal-title":"Inf Fusion"},{"key":"114_CR5","first-page":"202","volume":"4478","author":"N Dimililer","year":"2007","unstructured":"Dimililer N, Varolu E, Altnay H (2007) Vote-based classifier selection for biomedical NER using genetic algorithms. LNCS 4478:202\u2013209","journal-title":"LNCS"},{"key":"114_CR6","unstructured":"Matti A (2003) Comparison of classifier selection methods for improving committee performance. In: Proceedings of the 4th international conference on multiple classifier systems. Guildford, pp 84\u201393"},{"key":"114_CR7","unstructured":"Juran JM, Blanton Godfrey A (1999) Juran\u2019s quality handbook, 5th edn. McGraw-Hill, New York"},{"key":"114_CR8","doi-asserted-by":"crossref","unstructured":"Aho T, Elomaa T, Kujala J (2008) Unsupervised classifier selection based on two-sample test. In: Proceedings of the 11th international conference on discovery science, Budapest, pp 2839","DOI":"10.1007\/978-3-540-88411-8_6"},{"key":"114_CR9","doi-asserted-by":"crossref","unstructured":"Salama MA, Hassanien AE, Fahmy AA (2010) Pattern-based subspace classification model. In: The second world congress on nature and biologically inspired computing (NaBIC2010), Kitakyushu, Japan, pp 357\u2013362","DOI":"10.1109\/NABIC.2010.5716318"},{"key":"114_CR10","unstructured":"Phyu TN (2009) Survey of classification techniques in data mining. In: Proceedings of the international multiconference of engineers and computer scientists (IMECS). Hong Kong, vol 1, pp 727\u2013731"},{"key":"114_CR11","doi-asserted-by":"crossref","unstructured":"Geurts P (2001) Pattern extraction for time series classification. In: Proceedings of the 5th European conference on principles of data mining and knowledge discovery, Freiburg, Germany, pp 115\u2013127","DOI":"10.1007\/3-540-44794-6_10"},{"key":"114_CR12","unstructured":"Vilalta R, Giraud-Carrier C, Brazdil P, Soares C (2004) Using meta-learning to support data mining. Int J Comput Sci Appl 1:31\u201345"},{"key":"114_CR13","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-73263-1","volume-title":"Metalearning: applications to data mining","author":"P Brazdil","year":"2009","unstructured":"Brazdil P, Giraud-Carrier C, Soares C, Vilalta R (2009) Metalearning: applications to data mining. Springer, Berlin"},{"key":"114_CR14","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1007\/978-3-642-20980-2_7","volume":"358","author":"BC Prud\u00eancio Ricardo","year":"2011","unstructured":"Prud\u00eancio Ricardo BC, de Souto Marcilio CP, Ludermir TB (2011) Selecting machine learning algorithms using the ranking meta-learning approach. Stud Comput Intell 358:225\u2013243","journal-title":"Stud Comput Intell"},{"key":"114_CR15","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1007\/978-3-642-21219-2_22","volume":"6678","author":"BC Prud\u00eancio Ricardo","year":"2011","unstructured":"Prud\u00eancio Ricardo BC, Soares C, Ludermir TB (2011) Combining meta-learning and active selection of datasetoids for algorithm selection. Lect Notes Comput Sci 6678:164\u2013171","journal-title":"Lect Notes Comput Sci"},{"key":"114_CR16","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1007\/978-3-642-35380-2_18","volume":"7677","author":"DG Ferrari","year":"2012","unstructured":"Ferrari DG, de Castro LN (2012) Clustering algorithm recommendation: a meta-learning approach, swarm, evolutionary, and memetic computing. Lect Notes Comput Sci 7677:143\u2013150","journal-title":"Lect Notes Comput Sci"},{"key":"114_CR17","doi-asserted-by":"crossref","unstructured":"Villar JR, Gonz\u00e1lez S, Sedano J, Corchado E (2012) Meta-heuristic improvements applied for steel sheet incremental cold shaping. Memetic Comput","DOI":"10.1007\/s12293-012-0100-4"},{"issue":"2","key":"114_CR18","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1007\/s12293-012-0081-3","volume":"4","author":"GP Figueredo","year":"2012","unstructured":"Figueredo GP, Ebecken NFF, Augusto DA, Barbosa HJC (2012) An immune-inspired instance selection mechanism for supervised classification. Memetic Comput 4(2):135\u2013147","journal-title":"Memetic Comput"},{"key":"114_CR19","unstructured":"Priya R (2011) Predicting execution time of machine learning tasks using metalearning, Information and Communication Technologies (WICT). World Congress on Dec. 2011, pp 1193\u20131198"},{"key":"114_CR20","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1007\/978-3-642-05179-1_22","volume":"262","author":"T Maszczyk","year":"2010","unstructured":"Maszczyk T, Grochowski M, Duch W (2010) Discovering data structures using meta-learning, visualization and constructive neural networks. Stud Comput Intell 262:467\u2013484","journal-title":"Stud Comput Intell"},{"key":"114_CR21","doi-asserted-by":"crossref","unstructured":"Cruz-Reyes L, G\u00f3mez-Santill\u00e1n C, P\u00e9rez-Ortega J, Landero V, Quiroz M, Ochoa A (2012) Algorithm selection: from meta-learning to hyper-heuristics, intelligent systems, ISBN: 978-953-51-0054-6, InTech, doi:10.5772\/36710. Available from: http:\/\/www.intechopen.com\/books\/intelligent-systems\/algorithm-selection-from-meta-learning-to-hyper-heuristics","DOI":"10.5772\/36710"},{"key":"114_CR22","unstructured":"Salama MA, Revett K, Hassanien AE, Fahmy AA (2011) Interval-based attribute evaluation algorithm. In: The 6th IEEE international symposium advances in artificial intelligence and applications, Szczecin, Poland, Sep 18\u201321, pp 153\u2013156"},{"key":"114_CR23","unstructured":"Phyu TN (2009) Survey of classification techniques in data mining. In: Proceedings of the international multiconference of engineers and computer scientists, IMECS 2009. Hong Kong, vol 1, pp 727\u2013731"},{"key":"114_CR24","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1007\/978-3-642-01815-2_19","volume":"5548","author":"M Kaytoue","year":"2009","unstructured":"Kaytoue M, Duplessis S, Kuznetsov SO, Napoli A (2009) Two FCA-based methods for mining gen expression data. Lect Notes Comput Sci 5548:251\u2013266","journal-title":"Lect Notes Comput Sci"},{"issue":"10","key":"114_CR25","doi-asserted-by":"crossref","first-page":"2829","DOI":"10.1016\/j.cor.2008.12.011","volume":"36","author":"N Mastrogiannis","year":"2009","unstructured":"Mastrogiannis N, Boutsinas B, Giannikos I (2009) A method for improving the accuracy of data mining classification algorithms. Comput Oper Res 36(10):2829\u20132839","journal-title":"Comput Oper Res"},{"key":"114_CR26","doi-asserted-by":"crossref","unstructured":"Geurts P (2001) Pattern extraction for time series classification. In: Proceedings of the 5th European conference on principles of, data mining and knowledge discovery, pp 115\u2013127","DOI":"10.1007\/3-540-44794-6_10"},{"key":"114_CR27","isbn-type":"print","volume-title":"A step-by-step approach to using SAS for univariate and multivariate statistics","author":"N O\u2019Rourke","year":"2005","unstructured":"O\u2019Rourke N, Hatcher L, Stepanski EJ (2005) A step-by-step approach to using SAS for univariate and multivariate statistics, 2nd edn. SAS Institute Inc, USA. ISBN 1-59047-417-1","ISBN":"https:\/\/id.crossref.org\/isbn\/1590474171","edition":"2"},{"key":"114_CR28","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/978-1-4419-1213-8_2","volume":"1","author":"PR Rosenbaum","year":"2010","unstructured":"Rosenbaum PR (2010) Causal inference in randomized experiments. Springer Ser Stat Design Observ Stud 1:21\u201363","journal-title":"Springer Ser Stat Design Observ Stud"},{"key":"114_CR29","doi-asserted-by":"crossref","unstructured":"Salama MA, Hassanien AE, Fahmy AA (2010) Reducing the influence of normalization on data classification. In: The 6th international conference on next generation web services practices (NWeSP 2010), Gwalior, India, pp 609\u2013703","DOI":"10.1109\/CISIM.2010.5643523"},{"key":"114_CR30","first-page":"1067","volume":"10","author":"L Carmen","year":"2006","unstructured":"Carmen L, Reinders MJT, Wessels LFA (2006) Random subspace method for multivariate feature selection. Pattern Recogn Lett 10:1067\u20131076","journal-title":"Pattern Recogn Lett"},{"key":"114_CR31","unstructured":"Shang C, Shen Q (2006) Aiding classification of gene expression data with feature selection: a comparative study. Comput Intell Res 1:68\u201376"},{"key":"114_CR32","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TKDE.2005.9","volume":"17","author":"H Liu","year":"2005","unstructured":"Liu H, Yu L (2005) Toward integrating feature selection algorithms for classification and clustering. IEEE Trans Knowl Data Eng 17:1\u201312","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"114_CR33","unstructured":"Doak J (1992) An evaluation of feature selection methods and their application to computer security (Tech. Rep. CSE-92-18). University of California at Davis"},{"key":"114_CR34","doi-asserted-by":"crossref","unstructured":"Pawlak Z (1997) Rough set approach to knowledge-based decision support. Eur J Oper Res 99:48\u201357","DOI":"10.1016\/S0377-2217(96)00382-7"},{"key":"114_CR35","doi-asserted-by":"crossref","unstructured":"Mak B, Munakata T (2002) Rule extraction from expert heuristics: a comparative study of rough sets with neural networks and ID3. Eur J Oper Res 136(1):212\u2013229","DOI":"10.1016\/S0377-2217(01)00062-5"},{"key":"114_CR36","unstructured":"Nguyen HS, Nguyen SH (1998) Discretization methods in data mining. In: Polkowski L, Skowron A (eds) Rough sets in knowledge discovery, vol 1. Physica-Verlag, pp 451\u2013482"},{"key":"114_CR37","unstructured":"Salama AS (2011) Some topological properties of rough sets with tools for data mining. IJCSI Int J Comput Sci, Issues 8(3), No. 2"},{"key":"114_CR38","first-page":"742","volume":"3512","author":"J Cabestany","year":"2005","unstructured":"Cabestany J, Prieto A, Sandoval DF (2005) Heuristic search over a ranking for feature selection. LNCS 3512:742\u2013749","journal-title":"LNCS"},{"issue":"18","key":"114_CR39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v008.i18","volume":"8","author":"G Marsaglia","year":"2003","unstructured":"Marsaglia G, Tsang WW, Wang J (2003) Evaluating Kolmogorovs distribution. J Stat Softw 8(18):1\u20134","journal-title":"J Stat Softw"},{"issue":"4","key":"114_CR40","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1509\/jmkr.37.4.480.18785","volume":"37","author":"S Varki","year":"2000","unstructured":"Varki S, Cooil B, Rust RT (2000) Modelling fuzzy data in qualitative market research. J Market Res 37(4):480\u2013489","journal-title":"J Market Res"},{"key":"114_CR41","first-page":"453","volume":"3827","author":"L Yang","year":"2005","unstructured":"Yang L (2005) Uniformization of Discrete Data. LNCS 3827:453\u2013462","journal-title":"LNCS"},{"key":"114_CR42","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.cmpb.2009.01.003","volume":"95","author":"I Maglogiannis","year":"2009","unstructured":"Maglogiannis I, Loukis E, Zafiropoulos E, Stasis A (2009) Support vectors machine-based identification of heart valve diseases using heart sounds. J Comput Methods Progr Biomed 95:47\u201361","journal-title":"J Comput Methods Progr Biomed"},{"key":"114_CR43","unstructured":"Chiba University hospital DataBase. http:\/\/lisp.vse.cz\/pkdd99\/"},{"key":"114_CR44","unstructured":"http:\/\/kdd.ics.uci.edu\/databases . Irvine, CA, USA, July, 2010"},{"key":"114_CR45","unstructured":"UCI Machine Learning Repository. http:\/\/archive.ics.uci.edu\/ml\/datasets.html"},{"key":"114_CR46","unstructured":"Weka: Data Mining Software in java. http:\/\/www.cs.waikato.ac.nz\/ml\/weka\/"},{"key":"114_CR47","doi-asserted-by":"crossref","unstructured":"Chao S, Li Y (2005) Multivariate interdependent discretization for continuous attribute. In: Proceeding of the 3rd international conference on information technology and applications, vol 1, pp 167\u2013172","DOI":"10.1109\/ICITA.2005.188"},{"key":"114_CR48","doi-asserted-by":"crossref","unstructured":"Salama MA, Hassanien AE (2012) Binarization and validation in formal concept analysis. Int J Syst Biol Biomed Technol 1(4): 17\u201328","DOI":"10.4018\/ijsbbt.2012100102"}],"container-title":["Memetic Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12293-013-0114-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12293-013-0114-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12293-013-0114-6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,25]],"date-time":"2020-07-25T02:51:20Z","timestamp":1595645480000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12293-013-0114-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,4,10]]},"references-count":48,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2013,9]]}},"alternative-id":["114"],"URL":"https:\/\/doi.org\/10.1007\/s12293-013-0114-6","relation":{},"ISSN":["1865-9284","1865-9292"],"issn-type":[{"value":"1865-9284","type":"print"},{"value":"1865-9292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,4,10]]}}}