{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T22:07:29Z","timestamp":1743026849181,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319604374"},{"type":"electronic","value":"9783319604381"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-60438-1_71","type":"book-chapter","created":{"date-parts":[[2017,6,13]],"date-time":"2017-06-13T00:13:43Z","timestamp":1497312823000},"page":"728-734","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Heterogeneous Ensemble of Specialised Models - A Case Study in Stock Market Recommendations"],"prefix":"10.1007","author":[{"given":"Micha\u0142","family":"Kozielski","sequence":"first","affiliation":[]},{"given":"Katarzyna","family":"Dusza","sequence":"additional","affiliation":[]},{"given":"J\u00f3zef","family":"Flakus","sequence":"additional","affiliation":[]},{"given":"Krzysztof","family":"Koz\u0142owski","sequence":"additional","affiliation":[]},{"given":"Sebastian","family":"Musia\u0142","sequence":"additional","affiliation":[]},{"given":"Bart\u0142omiej","family":"Szwej","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,6,14]]},"reference":[{"key":"71_CR1","doi-asserted-by":"crossref","unstructured":"Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123\u2013140 (1996). http:\/\/dx.doi.org\/10.1007\/BF00058655","DOI":"10.1007\/BF00058655"},{"key":"71_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-04020-7_1","volume-title":"Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence","author":"P-C Chang","year":"2009","unstructured":"Chang, P.-C., Liu, C.-H., Fan, C.-Y., Lin, J.-L., Lai, C.-M.: An ensemble of neural networks for stock trading decision making. In: Huang, D.-S., Jo, K.-H., Lee, H.-H., Kang, H.-J., Bevilacqua, V. (eds.) ICIC 2009. LNCS, vol. 5755, pp. 1\u201310. Springer, Heidelberg (2009). doi:10.1007\/978-3-642-04020-7_1"},{"key":"71_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/3-540-45014-9_1","volume-title":"Multiple Classifier Systems","author":"TG Dietterich","year":"2000","unstructured":"Dietterich, T.G.: Ensemble methods in machine learning. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, vol. 1857, pp. 1\u201315. Springer, Heidelberg (2000). doi:10.1007\/3-540-45014-9_1"},{"key":"71_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/3-540-59119-2_166","volume-title":"Computational Learning Theory","author":"Y Freund","year":"1995","unstructured":"Freund, Y., Schapire, R.E.: A desicion-theoretic generalization of on-line learning and an application to boosting. In: Vit\u00e1nyi, P. (ed.) EuroCOLT 1995. LNCS, vol. 904, pp. 23\u201337. Springer, Heidelberg (1995). doi:10.1007\/3-540-59119-2_166"},{"key":"71_CR5","unstructured":"Janusz, A., \u015alezak, D., Stawicki, S., Rosiak, M.: Knowledge pit-a data challenge platform. In: CS&P, pp. 191\u2013195 (2015)"},{"key":"71_CR6","doi-asserted-by":"crossref","unstructured":"Kong, E.B., Dietterich, T.G.: Error-correcting output coding corrects bias and variance. In: Proceedings of the Twelfth International Conference on Machine Learning (1995)","DOI":"10.1016\/B978-1-55860-377-6.50046-3"},{"key":"71_CR7","doi-asserted-by":"crossref","unstructured":"Mendes-Moreira, J., Soares, C., Jorge, A.M., Sousa, J.F.D.: Ensemble approaches for regression: a survey. ACM Comput. Surv. 45(1), 10:1\u201310:40. http:\/\/doi.acm.org\/10.1145\/2379776.2379786","DOI":"10.1145\/2379776.2379786"},{"key":"71_CR8","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1613\/jair.614","volume":"11","author":"D Opitz","year":"1999","unstructured":"Opitz, D., Maclin, R.: Popular ensemble methods: an empirical study. J. Artif. Intell. Res. 11, 169\u2013198 (1999)","journal-title":"J. Artif. Intell. Res."},{"key":"71_CR9","doi-asserted-by":"crossref","unstructured":"Seker, S.E., Mert, C., Al-Naami, K., Ayan, U., Ozalp, N.: Ensemble classification over stock market time series and economy news. In: 2013 IEEE International Conference on Intelligence and Security Informatics, pp. 272\u2013273, June 2013","DOI":"10.1109\/ISI.2013.6578840"},{"key":"71_CR10","unstructured":"Witten, I.H., Frank, E., Hall, M.A.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, Burlington (2011)"},{"key":"71_CR11","doi-asserted-by":"crossref","unstructured":"Wolpert, D.H.: Stacked generalization. Neural Netw. 5(2), 241\u2013259 (1992). http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0893608005800231","DOI":"10.1016\/S0893-6080(05)80023-1"}],"container-title":["Lecture Notes in Computer Science","Foundations of Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-60438-1_71","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T08:45:11Z","timestamp":1710233111000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-60438-1_71"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319604374","9783319604381"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-60438-1_71","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"14 June 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISMIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Methodologies for Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Warsaw","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 June 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 June 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ismis2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ismis2017.ii.pw.edu.pl\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}