{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T13:29:10Z","timestamp":1769088550490,"version":"3.49.0"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"18","license":[{"start":{"date-parts":[[2016,4,5]],"date-time":"2016-04-05T00:00:00Z","timestamp":1459814400000},"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":["Soft Comput"],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1007\/s00500-016-2123-0","type":"journal-article","created":{"date-parts":[[2016,4,5]],"date-time":"2016-04-05T11:29:06Z","timestamp":1459855746000},"page":"5387-5398","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Stock market trend prediction using AHP and weighted kernel LS-SVM"],"prefix":"10.1007","volume":"21","author":[{"given":"Ivana","family":"Markovi\u0107","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Milo\u0161","family":"Stojanovi\u0107","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jelena","family":"Stankovi\u0107","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Milena","family":"Stankovi\u0107","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,4,5]]},"reference":[{"key":"2123_CR1","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1214\/09-SS054","volume":"4","author":"S Arlot","year":"2010","unstructured":"Arlot S, Celisse A (2010) A survey of cross-validation procedures for model selection. Stat Surv 4:40\u201379","journal-title":"Stat Surv"},{"issue":"7","key":"2123_CR2","doi-asserted-by":"publisher","first-page":"10696","DOI":"10.1016\/j.eswa.2009.02.043","volume":"36","author":"SG Atsalakis","year":"2009","unstructured":"Atsalakis SG, Valavanis PK (2009) Forecasting stock market short-term trends using a neuro-fuzzy based methodology. Expert Syst Appl 36(7):10696\u201310700. doi: 10.1016\/j.eswa.2009.02.043","journal-title":"Expert Syst Appl"},{"issue":"3","key":"2123_CR3","doi-asserted-by":"publisher","first-page":"5932","DOI":"10.1016\/j.eswa.2008.07.006","volume":"36","author":"SG Atsalakis","year":"2009","unstructured":"Atsalakis SG, Valavanis PK (2009b) Surveying stock market forecasting techniques\u2014Part II: Soft computing methods. Expert Syst Appl 36(3):5932\u20135941. doi: 10.1016\/j.eswa.2008.07.006","journal-title":"Expert Syst Appl"},{"issue":"3","key":"2123_CR4","doi-asserted-by":"publisher","first-page":"1325","DOI":"10.1016\/j.eswa.2014.09.026","volume":"42","author":"S Barak","year":"2015","unstructured":"Barak S, Modarres M (2015) Developing an approach to evaluate stocks by forecasting effective features with data mining methods. Expert Syst Appl 42(3):1325\u20131339. doi: 10.1016\/j.eswa.2014.09.026","journal-title":"Expert Syst Appl"},{"key":"2123_CR5","unstructured":"De Brabanter K, Karsmakers P, Ojeda F, Alzate C, De Brabanter J, Pelckmans K, De Moor B, Vandewalle J, Suykens JAK (2011) LS-SVMlab toolbox user\u2019s guide version 1.8. http:\/\/www.esat.kuleuven.be\/sista\/lssvmlab\/"},{"key":"2123_CR6","doi-asserted-by":"crossref","unstructured":"Breiman L (2001) Random forests. Mach Learn 45(1):5\u201332","DOI":"10.1023\/A:1010933404324"},{"key":"2123_CR7","unstructured":"Coyle G (2004) Practical strategy: structured tools and techniques. Pearson, New York"},{"issue":"10\u201312","key":"2123_CR8","doi-asserted-by":"publisher","first-page":"1923","DOI":"10.1016\/j.neucom.2010.01.017","volume":"73","author":"SF Crone","year":"2010","unstructured":"Crone SF, Kourentzes N (2010) Feature selection for time series prediction\u2014a combined filter and wrapper approach for neural networks. Neurocomputing 73(10\u201312):1923\u20131936. doi: 10.1016\/j.neucom.2010.01.017","journal-title":"Neurocomputing"},{"key":"2123_CR9","doi-asserted-by":"publisher","unstructured":"Chai J, Du J, Lai KK, Lee YP (2015) A hybrid least square support vector machine model with parameters optimization for stock forecasting. Math Probl Eng (article ID 231394, 7 pages). doi: 10.1155\/2015\/231394","DOI":"10.1155\/2015\/231394"},{"key":"2123_CR10","unstructured":"Chang C-C, Lin C-J (2011) LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2(3):27:1\u201327:27"},{"issue":"4","key":"2123_CR11","doi-asserted-by":"publisher","first-page":"4444","DOI":"10.1016\/j.eswa.2011.09.145","volume":"39","author":"W Dai","year":"2012","unstructured":"Dai W, Wu J-Y, Lu C-J (2012) Combining nonlinear independent component analysis and neural network for the prediction of Asian stock market indexes. Expert Syst Appl 39(4):4444\u20134452. doi: 10.1016\/j.eswa.2011.09.145","journal-title":"Expert Syst Appl"},{"key":"2123_CR12","first-page":"1","volume":"7","author":"J De\u0161mar","year":"2006","unstructured":"De\u0161mar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7:1\u201330","journal-title":"J Mach Learn Res"},{"key":"2123_CR13","doi-asserted-by":"crossref","first-page":"383","DOI":"10.2307\/2325486","volume":"25","author":"E Fama","year":"1970","unstructured":"Fama E (1970) Efficient capital markets: a review of theory and empirical work. J Finance 25:383\u2013417","journal-title":"J Finance"},{"key":"2123_CR14","doi-asserted-by":"publisher","unstructured":"Fung GPC, Yu JX, Lam W (2002) News sensitive stock trend prediction. In: Advances in knowledge discovery and data mining. Springer, Berlin, pp 481\u2013493. doi: 10.1007\/3-540-47887-6_48","DOI":"10.1007\/3-540-47887-6_48"},{"issue":"14","key":"2123_CR15","doi-asserted-by":"crossref","first-page":"2225","DOI":"10.1016\/j.patrec.2010.03.014","volume":"31","author":"R Genuer","year":"2010","unstructured":"Genuer R, Poggi J-M, Tuleau-Malot C (2010) Variable selection using random forests. Pattern Recognit Lett 31(14):2225\u20132236","journal-title":"Pattern Recognit Lett"},{"key":"2123_CR16","unstructured":"Giveki D, Salimi H, Bahmanyar G, Khademian Y (2012) Automatic detection of diabetes diagnosis using feature weighted support vector machines based on mutual information and modified Cuckoo search. arXiv:1201.2173"},{"issue":"16\u201318","key":"2123_CR17","doi-asserted-by":"publisher","first-page":"3580","DOI":"10.1016\/j.neucom.2008.12.035","volume":"72","author":"V G\u00f3mez-Verdejo","year":"2009","unstructured":"G\u00f3mez-Verdejo V, Verleysen M, Fleury J (2009) Information-theoretic feature selection for functional data classification. Neurocomputing 72(16\u201318):3580\u20133589. doi: 10.1016\/j.neucom.2008.12.035","journal-title":"Neurocomputing"},{"issue":"4","key":"2123_CR18","doi-asserted-by":"publisher","first-page":"622","DOI":"10.1109\/TIP.2008.918955","volume":"17","author":"B Guo","year":"2008","unstructured":"Guo B, Gunn SR, Damper RI (2008) Customizing kernel functions for SVM-based hyperspectral image classification. IEEE Trans Image Process 17(4):622\u2013629. doi: 10.1109\/TIP.2008.918955","journal-title":"IEEE Trans Image Process"},{"key":"2123_CR19","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3:1157\u20131182","journal-title":"J Mach Learn Res"},{"key":"2123_CR20","doi-asserted-by":"crossref","unstructured":"Hawawini G, Keim DB (1995) On the predictability of common stock returns: world-wide evidence. In: Handbooks in operations research and management science, vol $$9$$ 9 . North-Holland, Amsterdam, pp 497\u2013544","DOI":"10.1016\/S0927-0507(05)80061-1"},{"key":"2123_CR21","unstructured":"He Y, Fataliyev K, Wang L (2013) ICONIP 2013, Part II, LNCS 8227. In: Lee M et al (eds) Feature selection for stock market analysis. Springer, Berlin, pp 737\u2013744"},{"issue":"10","key":"2123_CR22","doi-asserted-by":"publisher","first-page":"2513","DOI":"10.1016\/j.cor.2004.03.016","volume":"32","author":"W Huang","year":"2005","unstructured":"Huang W, Nakamori Y, Wang S-Y (2005) Forecasting stock market movement direction with support vector machine. Comput Oper Res 32(10):2513\u20132522. doi: 10.1016\/j.cor.2004.03.016","journal-title":"Comput Oper Res"},{"issue":"5","key":"2123_CR23","doi-asserted-by":"publisher","first-page":"5311","DOI":"10.1016\/j.eswa.2010.10.027","volume":"38","author":"Y Kara","year":"2011","unstructured":"Kara Y, Boyacioglu MA, Baykan \u00d6K (2011) Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange. Expert Syst Appl 38(5):5311\u20135319. doi: 10.1016\/j.eswa.2010.10.027","journal-title":"Expert Syst Appl"},{"key":"2123_CR24","unstructured":"Kaufman PJ (2003) A short course in technical trading. Wiley, New York"},{"issue":"6","key":"2123_CR25","doi-asserted-by":"crossref","first-page":"066138","DOI":"10.1103\/PhysRevE.69.066138","volume":"69","author":"A Kraskov","year":"2004","unstructured":"Kraskov A, Stogbauer H, Grassberger P (2004) Estimating mutual information. Phys Rev E 69(6):066138","journal-title":"Phys Rev E"},{"key":"2123_CR26","first-page":"24","volume":"29","author":"S Lahmiri","year":"2011","unstructured":"Lahmiri S (2011) A comparison of PNN and SVM for stock market trend prediction using economic and technical information. Int J Comput Appl 29:24\u201330","journal-title":"Int J Comput Appl"},{"issue":"8","key":"2123_CR27","doi-asserted-by":"publisher","first-page":"10896","DOI":"10.1016\/j.eswa.2009.02.038","volume":"36","author":"M-C Lee","year":"2009","unstructured":"Lee M-C (2009) Using support vector machine with a hybrid feature selection method to the stock trend prediction. Expert Syst Appl 36(8):10896\u201310904. doi: 10.1016\/j.eswa.2009.02.038","journal-title":"Expert Syst Appl"},{"key":"2123_CR28","doi-asserted-by":"crossref","unstructured":"Levy H (2006) Stochastic dominance investment decision making under uncertainty, 2nd edn. Springer, New York","DOI":"10.1007\/0-387-29311-6"},{"issue":"3","key":"2123_CR29","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1016\/j.im.2004.01.008","volume":"42","author":"D-R Liu","year":"2005","unstructured":"Liu D-R, Shih Y-Y (2005) Integrating AHP and data mining for product recommendation based on customer lifetime value. Inf Manag 42(3):387\u2013400. doi: 10.1016\/j.im.2004.01.008","journal-title":"Inf Manag"},{"issue":"7","key":"2123_CR30","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.4156\/jdcta.vol7.issue7.119","volume":"7","author":"D Liu","year":"2013","unstructured":"Liu D, Tian Z, Luo B, Xia J (2013) Feature ranking in intrusion detection by hybrid algorithm with support vector machine and analytic hierarchy process. Int J Digit Content Technol Appl (JDCTA) 7(7):1005\u20131013. doi: 10.4156\/jdcta.vol7.issue7.119","journal-title":"Int J Digit Content Technol Appl (JDCTA)"},{"key":"2123_CR31","doi-asserted-by":"crossref","unstructured":"Lo AW (2007) The new palgrave: a dictionary of economics. In: Blume L, Durlauf S (eds) Efficient markets hypothesis. Palgrave Macmillan, Basingstoke","DOI":"10.1057\/978-1-349-95121-5_42-2"},{"key":"2123_CR32","doi-asserted-by":"crossref","unstructured":"Markovi\u0107 I, Stojanovi\u0107 M, Bo\u017ei\u0107 M, Stankovi\u0107 J (2015) ICT innovations. In: 2014 proceedings of the advances in intelligent systems and computing. In: Bogdanova AM, Gjorgjevik D (eds) Stock market trend prediction based on the LS-SVM model update algorithm. Springer, New York, pp 105\u2014114","DOI":"10.1007\/978-3-319-09879-1_11"},{"key":"2123_CR33","doi-asserted-by":"publisher","unstructured":"Mittermayer MA (2004) Forecasting intraday stock price trends with text mining techniques. Proc Hawai Int Conf Syst Sci. doi: 10.1109\/HICSS.2004.1265201","DOI":"10.1109\/HICSS.2004.1265201"},{"key":"2123_CR34","unstructured":"McNelis PD (2005) Neural networks in finance: gaining predictive edge in the market. Elsevier, New York"},{"issue":"5","key":"2123_CR35","doi-asserted-by":"publisher","first-page":"5569","DOI":"10.1016\/j.eswa.2010.10.079","volume":"38","author":"L-P Ni","year":"2011","unstructured":"Ni L-P, Ni ZW, Gao YZ (2011) Stock trend prediction based on fractal feature selection and support vector machine. Expert Syst Appl 38(5):5569\u20135576. doi: 10.1016\/j.eswa.2010.10.079","journal-title":"Expert Syst Appl"},{"issue":"2","key":"2123_CR36","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1016\/j.eswa.2005.12.001","volume":"32","author":"EC Omak","year":"2007","unstructured":"Omak EC, Polat K, Gunes S, Arslan A (2007) A new medical decision making system: least square support vector machine (LSSVM) with fuzzy weighting pre-processing. Expert Syst Appl 32(2):409\u2013414. doi: 10.1016\/j.eswa.2005.12.001","journal-title":"Expert Syst Appl"},{"key":"2123_CR37","first-page":"11","volume":"5","author":"S Pauwels","year":"2011","unstructured":"Pauwels S, Inghelbrecht K, Heyman P, Marius D (2011) Technical trading rules in emerging stock markets. World Acad Sci Eng Technol 5:11\u201320","journal-title":"World Acad Sci Eng Technol"},{"key":"2123_CR38","doi-asserted-by":"crossref","first-page":"1281","DOI":"10.1111\/1468-0262.00158","volume":"68","author":"M Rabin","year":"2000","unstructured":"Rabin M (2000) Risk aversion and expected-utility theory: a calibration theorem. Econometrica 68:1281\u20131292","journal-title":"Econometrica"},{"key":"2123_CR39","unstructured":"Saaty TL (1999) Monogr\u00e1fico: Problemas complejos de decisi\u00f3n. II. Basic theory of the analytic hierarchy process: how to make a decision. Rev R Acad Cienc Exact Fis Nat (Esp) 93:395\u2013423"},{"issue":"2","key":"2123_CR40","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1016\/j.neucom.2014.03.006","volume":"141","author":"BM Stojanovi\u0107","year":"2014","unstructured":"Stojanovi\u0107 BM, Bo\u017ei\u0107 MM, Stankovi\u0107 MM, Staji\u0107 ZP (2014) A methodology for training set instance selection using mutual information in time series prediction. Neurocomputing 141(2):236\u2013245. doi: 10.1016\/j.neucom.2014.03.006","journal-title":"Neurocomputing"},{"key":"2123_CR41","doi-asserted-by":"crossref","DOI":"10.1142\/5089","volume-title":"Least squares support vector machines","author":"JAK Suykens","year":"2002","unstructured":"Suykens JAK, Van Gestel T, Brabanter J De, Moor B De, Vandewalle J (2002) Least squares support vector machines. World Scientific, Singapore"},{"key":"2123_CR42","unstructured":"Wang Y, Choi I-C (2013) Market index and stock price direction prediction using machine learning techniques: an empirical study on the KOSPI and HIS. arXiv:1309.7119"},{"key":"2123_CR43","first-page":"213","volume":"5","author":"D Wang","year":"2013","unstructured":"Wang D, Zhang H (2013) Group AHP and $$K$$ K -means cluster for a new segmentation of brand customer. Int J Adv Comput Technol (IJACT) 5:213\u2013221","journal-title":"Int J Adv Comput Technol (IJACT)"},{"key":"2123_CR44","doi-asserted-by":"publisher","unstructured":"Xing H, Ha M, Hu B, Tian D (2009) Linear feature-weighted support vector machine. Fuzzy Inf Eng 1(3):289\u2013305. doi: 10.1007\/s12543-009-0022-0","DOI":"10.1007\/s12543-009-0022-0"},{"key":"2123_CR45","doi-asserted-by":"publisher","unstructured":"Yao J, Zhao S, Fan L (2006) Enhanced support vector machine model for intrusion detection. Rough Sets Knowl Technol LNCS 4062:538\u2013543. doi: 10.1007\/11795131_78","DOI":"10.1007\/11795131_78"},{"key":"2123_CR46","doi-asserted-by":"publisher","unstructured":"Yoo P D, Kim MH, Jan T (2005) Machine learning techniques and use of event information for stock market prediction: a survey and evaluation. In: Computational intelligence for modelling, control and automation and international conference on intelligent agents, web technologies and internet commerce, pp 835\u2013841. doi: 10.1109\/CIMCA.2005.1631572","DOI":"10.1109\/CIMCA.2005.1631572"},{"key":"2123_CR47","unstructured":"Yu L, Wang S, Lai KK (2005) WINE 2005, LNCS 3828 In: Deng X, Ye Y (eds) Mining stock market tendency using GA-based support vector machines. Springer, Berlin, pp 336\u2013345"},{"key":"2123_CR48","doi-asserted-by":"publisher","unstructured":"Yu L, Chen H, Wang S, Lai KK (2009) Evolving least squares support vector machines for stock market trend mining. IEEE Trans Evolut Comput 13(1):87\u2013102. doi: 10.1109\/TEVC.2008.928176","DOI":"10.1109\/TEVC.2008.928176"},{"key":"2123_CR49","doi-asserted-by":"publisher","unstructured":"Yuling L, Guo H, Hu J (2013) An SVM-based approach for stock market trend prediction. Neural Netw (IJCNN) (IEEE Press, New York) 1\u2013 7. doi: 10.1109\/IJCNN.2013.6706743","DOI":"10.1109\/IJCNN.2013.6706743"},{"key":"2123_CR50","doi-asserted-by":"publisher","unstructured":"Zhai Y, Hsu A, Halgamuge SK (2007) ISNN 2007, Part III, LNCS 4493. In: Liu D et al (eds) Combining news and technical indicators in daily stock price trends prediction. Springer, Berlin, pp 1087\u20131096. doi: 10.1007\/3-540-47887-6_48","DOI":"10.1007\/3-540-47887-6_48"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-016-2123-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-016-2123-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-016-2123-0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-016-2123-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,17]],"date-time":"2023-08-17T13:55:22Z","timestamp":1692280522000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-016-2123-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4,5]]},"references-count":50,"journal-issue":{"issue":"18","published-print":{"date-parts":[[2017,9]]}},"alternative-id":["2123"],"URL":"https:\/\/doi.org\/10.1007\/s00500-016-2123-0","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,4,5]]}}}