{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T23:40:09Z","timestamp":1748562009254,"version":"3.41.0"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319228518"},{"type":"electronic","value":"9783319228525"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-22852-5_28","type":"book-chapter","created":{"date-parts":[[2015,8,10]],"date-time":"2015-08-10T12:07:46Z","timestamp":1439208466000},"page":"331-338","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Improving Financial Time Series Prediction Through Output Classification by a Neural Network Ensemble"],"prefix":"10.1007","author":[{"given":"Felipe","family":"Giacomel","sequence":"first","affiliation":[]},{"given":"Adriano C. M.","family":"Pereira","sequence":"additional","affiliation":[]},{"given":"Renata","family":"Galante","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,8,11]]},"reference":[{"issue":"3","key":"28_CR1","doi-asserted-by":"publisher","first-page":"5932","DOI":"10.1016\/j.eswa.2008.07.006","volume":"36","author":"GS Atsalakis","year":"2009","unstructured":"Atsalakis, G.S., Valavanis, K.P.: Surveying stock market forecasting techniques-part ii: soft computing methods. Expert Syst. Appl. 36(3), 5932\u20135941 (2009)","journal-title":"Expert Syst. Appl."},{"issue":"10","key":"28_CR2","doi-asserted-by":"publisher","first-page":"2499","DOI":"10.1016\/j.cor.2004.03.015","volume":"32","author":"Q Cao","year":"2005","unstructured":"Cao, Q., Leggio, K.B., Schniederjans, M.J.: A comparison between fama and french\u2019s model and artificial neural networks in predicting the chinese stock market. Comput. Oper. Res. 32(10), 2499\u20132512 (2005)","journal-title":"Comput. Oper. Res."},{"issue":"4","key":"28_CR3","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1016\/j.neucom.2006.10.005","volume":"70","author":"Y Chen","year":"2007","unstructured":"Chen, Y., Yang, B., Abraham, A.: Flexible neural trees ensemble for stock index modeling. Neurocomputing 70(4), 697\u2013703 (2007)","journal-title":"Neurocomputing"},{"key":"28_CR4","doi-asserted-by":"crossref","unstructured":"Hansen, L.K., Liisberg, C., Salamon, P.: Ensemble methods for handwritten digit recognition. In: Proceedings of the 1992 IEEE-SP Workshop on Neural Networks for Signal Processing [1992] II, pp. 333\u2013342. IEEE (1992)","DOI":"10.1109\/NNSP.1992.253679"},{"key":"28_CR5","unstructured":"Heaton, J., Reasearch, H.: Encog java and dotnet neural network framework. Heaton Research Inc, 20 July 2010"},{"issue":"5","key":"28_CR6","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., Acar Boyacioglu, M., Baykan, \u00d6.K.: 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 (2011)","journal-title":"Expert syst. Appl."},{"issue":"9","key":"28_CR7","doi-asserted-by":"publisher","first-page":"4235","DOI":"10.1016\/j.eswa.2013.12.011","volume":"41","author":"N Kourentzes","year":"2014","unstructured":"Kourentzes, N., Barrow, D.K., Crone, S.F.: Neural network ensemble operators for time series forecasting. Expert Syst. Appl. 41(9), 4235\u20134244 (2014)","journal-title":"Expert Syst. Appl."},{"issue":"5","key":"28_CR8","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1016\/j.knosys.2005.11.015","volume":"19","author":"N O\u2019Connor","year":"2006","unstructured":"O\u2019Connor, N., Madden, M.G.: A neural network approach to predicting stock exchange movements using external factors. Knowl.-Based Syst. 19(5), 371\u2013378 (2006)","journal-title":"Knowl.-Based Syst."},{"key":"28_CR9","doi-asserted-by":"crossref","unstructured":"Silva, E., Castilho, D., Pereira, A., Brandao, H.: A neural network based approach to support the market making strategies in high-frequency trading. In: International Joint Conference on Neural Networks (IJCNN). pp. 845\u2013852. IEEE (2014)","DOI":"10.1109\/IJCNN.2014.6889835"},{"key":"28_CR10","doi-asserted-by":"crossref","unstructured":"Taylor, B., Kim, M., Choi, A.: Automated stock trading algorithm using neural networks. In: Juang, J., Chen, C.Y., Yang, C.F (eds.) Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems (ICITES2013), Lecture Notes in Electrical Engineering. vol. 293, pp. 849\u2013857. Springer, Switzerland (2014)","DOI":"10.1007\/978-3-319-04573-3_104"},{"key":"28_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1087","DOI":"10.1007\/978-3-540-72395-0_132","volume-title":"Advances in Neural Networks \u2013 ISNN 2007","author":"YZ Zhai","year":"2007","unstructured":"Zhai, Y.Z., Hsu, A., Halgamuge, S.K.: Combining news and technical indicators in daily stock price trends prediction. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, Changyin (eds.) ISNN 2007, Part III. LNCS, vol. 4493, pp. 1087\u20131096. Springer, Heidelberg (2007)"},{"issue":"1","key":"28_CR12","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/S0004-3702(02)00190-X","volume":"137","author":"ZH Zhou","year":"2002","unstructured":"Zhou, Z.H., Wu, J., Tang, W.: Ensembling neural networks: many could be better than all. Artif. Intell. 137(1), 239\u2013263 (2002)","journal-title":"Artif. Intell."}],"container-title":["Lecture Notes in Computer Science","Database and Expert Systems Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-22852-5_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T23:08:23Z","timestamp":1748560103000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-22852-5_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319228518","9783319228525"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-22852-5_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"11 August 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}