{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:49:49Z","timestamp":1767340189185,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030530358"},{"type":"electronic","value":"9783030530365"}],"license":[{"start":{"date-parts":[[2020,8,7]],"date-time":"2020-08-07T00:00:00Z","timestamp":1596758400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,7]],"date-time":"2020-08-07T00:00:00Z","timestamp":1596758400000},"content-version":"vor","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":[[2021]]},"DOI":"10.1007\/978-3-030-53036-5_33","type":"book-chapter","created":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T12:07:37Z","timestamp":1596715657000},"page":"303-313","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["A Machine Learning Platform for Stock Investment Recommendation Systems"],"prefix":"10.1007","author":[{"given":"Elena","family":"Hern\u00e1ndez-Nieves","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00c1lvaro","family":"Bartolom\u00e9 del Canto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pablo","family":"Chamoso-Santos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fernando","family":"de la Prieta-Pintado","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan M.","family":"Corchado-Rodr\u00edguez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,7]]},"reference":[{"key":"33_CR1","doi-asserted-by":"crossref","unstructured":"Arora, N.: Financial Analysis: Stock Market Prediction Using Deep Learning Algorithms (2019)","DOI":"10.2139\/ssrn.3358252"},{"issue":"3","key":"33_CR2","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\u2013Part II: soft computing methods. Expert Syst. Appl. 36(3), 5932\u20135941 (2009)","journal-title":"Expert Syst. Appl."},{"issue":"2","key":"33_CR3","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1080\/088395101750065723","volume":"15","author":"JM Corchado","year":"2001","unstructured":"Corchado, J.M., Lees, B.: A hybrid case-based model for forecasting. Appl. Artif. Intell. 15(2), 105\u2013127 (2001)","journal-title":"Appl. Artif. Intell."},{"issue":"4","key":"33_CR4","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1016\/j.eswa.2013.08.003","volume":"41","author":"JAG Coria","year":"2014","unstructured":"Coria, J.A.G., Castellanos-Garz\u00f3n, J.A., Corchado, J.M.: Intelligent business processes composition based on multi-agent systems. Expert Syst. Appl. 41(4), 1189\u20131205 (2014)","journal-title":"Expert Syst. Appl."},{"key":"33_CR5","doi-asserted-by":"crossref","unstructured":"Dang, N.C., De la Prieta, F., Corchado, J.M., Moreno, M.N.: Framework for retrieving relevant contents related to fashion from online social network data. In: International Conference on Practical Applications of Agents and Multi-Agent Systems, pp. 335\u2013347. Springer, Cham, June 2016","DOI":"10.1007\/978-3-319-40159-1_28"},{"issue":"1","key":"33_CR6","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.jfds.2016.03.002","volume":"2","author":"R Dash","year":"2016","unstructured":"Dash, R., Dash, P.K.: A hybrid stock trading framework integrating technical analysis with machine learning techniques. J. Fin. Data Sci. 2(1), 42\u201357 (2016)","journal-title":"J. Fin. Data Sci."},{"issue":"4","key":"33_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.14201\/ADCAIJ201654118","volume":"5","author":"D Carneiro","year":"2016","unstructured":"Carneiro, D., Ara\u00fajo, D., Pimenta, A., Novais, P.: Real time analytics for characterizing the computer user\u2019s state. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 5(4), 1\u201318 (2016). ISSN 2255-2863","journal-title":"ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J."},{"key":"33_CR8","doi-asserted-by":"publisher","DOI":"10.4324\/9781315115719","volume-title":"Technical Analysis of Stock Trends","author":"RD Edwards","year":"2018","unstructured":"Edwards, R.D., Magee, J., Bassetti, W.C.: Technical Analysis of Stock Trends. CRC Press, Boca Raton (2018)"},{"issue":"1","key":"33_CR9","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.eswa.2006.04.011","volume":"33","author":"F Fdez-Riverola","year":"2007","unstructured":"Fdez-Riverola, F., Iglesias, E.L., D\u00edaz, F., M\u00e9ndez, J.R., Corchado, J.M.: Applying lazy learning algorithms to tackle concept drift in spam filtering. Expert Syst. Appl. 33(1), 36\u201348 (2007)","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"33_CR10","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1109\/TSMCC.2006.876058","volume":"37","author":"F Fern\u00e1ndez-Riverola","year":"2006","unstructured":"Fern\u00e1ndez-Riverola, F., Diaz, F., Corchado, J.M.: Reducing the memory size of a fuzzy case-based reasoning system applying rough set techniques. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 37(1), 138\u2013146 (2006)","journal-title":"IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.)"},{"key":"33_CR11","doi-asserted-by":"crossref","unstructured":"Frikha, M., Mhiri, M., Gargouri, F.: A semantic social recommender system using ontologies based approach for Tunisian tourism (2015)","DOI":"10.14201\/ADCAIJ20154190106"},{"issue":"4","key":"33_CR12","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1002\/int.1024","volume":"16","author":"C Fyfe","year":"2001","unstructured":"Fyfe, C., Corchado, J.M.: Automating the construction of CBR systems using kernel methods. Int. J. Intell. Syst. 16(4), 571\u2013586 (2001)","journal-title":"Int. J. Intell. Syst."},{"issue":"3","key":"33_CR13","first-page":"173","volume":"10","author":"M Glez-Bedia","year":"2002","unstructured":"Glez-Bedia, M., Corchado, J.M., Corchado, E.S., Fyfe, C.: Analytical model for constructing deliberative agents. Eng. Intell. Syst. Electr. Eng. Commun. 10(3), 173\u2013185 (2002)","journal-title":"Eng. Intell. Syst. Electr. Eng. Commun."},{"key":"33_CR14","doi-asserted-by":"crossref","unstructured":"Urbano, J., Cardoso, H.L., Rocha, A.P., Oliveira, E.: Trust and normative control in multi-agent systems. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 1(1) (2012). ISSN 2255-2863","DOI":"10.14201\/ADCAIJ2012114352"},{"key":"33_CR15","unstructured":"Khaidem, L., Saha, S., Dey, S.R.: Predicting the direction of stock market prices using random forest. arXiv preprint arXiv:1605.00003 (2016)"},{"key":"33_CR16","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1016\/j.knosys.2017.09.010","volume":"137","author":"JA Morente-Molinera","year":"2017","unstructured":"Morente-Molinera, J.A., Kou, G., Gonz\u00e1lez-Crespo, R., Corchado, J.M., Herrera-Viedma, E.: Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods. Knowl. Based Syst. 137, 54\u201364 (2017)","journal-title":"Knowl. Based Syst."},{"issue":"3","key":"33_CR17","doi-asserted-by":"publisher","first-page":"243","DOI":"10.3233\/IDT-140220","volume":"9","author":"BB Nair","year":"2015","unstructured":"Nair, B.B., Mohandas, V.P.: An intelligent recommender system for stock trading. Intell. Decis. Technol. 9(3), 243\u2013269 (2015)","journal-title":"Intell. Decis. Technol."},{"key":"33_CR18","doi-asserted-by":"crossref","unstructured":"Nicoletti, B., Nicoletti, W.: Future of FinTech. Palgrave Macmillan, Basingstoke (2017)","DOI":"10.1007\/978-3-319-51415-4"},{"issue":"1","key":"33_CR19","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/j.eswa.2014.07.040","volume":"42","author":"J Patel","year":"2015","unstructured":"Patel, J., Shah, S., Thakkar, P., Kotecha, K.: Predicting stock and stock price index movement using trend deterministic data preparation and machine learning techniques. Expert Syst. Appl. 42(1), 259\u2013268 (2015)","journal-title":"Expert Syst. Appl."},{"key":"33_CR20","doi-asserted-by":"crossref","unstructured":"Pawlewski, P., Golinska, P., Dossou, P.-E.: Application potential of agent based simulation and discrete event simulation in enterprise integration modelling concepts. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 1(1) (2012). ISSN 2255-2863","DOI":"10.14201\/ADCAIJ2012113342"},{"issue":"6","key":"33_CR21","first-page":"521","volume":"115","author":"R Pimprikar","year":"2017","unstructured":"Pimprikar, R., Ramachandran, S., Senthilkumar, K.: Use of machine learning algorithms and twitter sentiment analysis for stock market prediction. Int. J. Pure Appl. Math. 115(6), 521\u2013526 (2017)","journal-title":"Int. J. Pure Appl. Math."},{"issue":"1","key":"33_CR22","doi-asserted-by":"publisher","first-page":"41","DOI":"10.14201\/ADCAIJ2018714148","volume":"7","author":"S Pudaruth","year":"2018","unstructured":"Pudaruth, S., Moheeputh, S., Permessur, N., Chamroo, A.: Sentiment analysis from Facebook comments using automatic coding in NVivo 11. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 7(1), 41\u201348 (2018)","journal-title":"ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J."},{"issue":"3","key":"33_CR23","first-page":"71","volume":"2","author":"S Soni","year":"2011","unstructured":"Soni, S.: Applications of ANNs in stock market prediction: a survey. Int. J. Comput. Sci. Eng. Technol. 2(3), 71\u201383 (2011)","journal-title":"Int. J. Comput. Sci. Eng. Technol."},{"key":"33_CR24","doi-asserted-by":"crossref","unstructured":"Taghavi, M., Bakhtiyari, K., Scavino, E.: Agent-based computational investing recommender system. In: Proceedings of the 7th ACM Conference on Recommender Systems, pp. 455\u2013458, October 2013","DOI":"10.1145\/2507157.2508072"},{"key":"33_CR25","doi-asserted-by":"crossref","unstructured":"Yoo, P.D., Kim, M.H., Jan, T.: Machine learning techniques and use of event information for stock market prediction: a survey and evaluation. In: International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC 2006), vol. 2, pp. 835\u2013841. IEEE, November 2005","DOI":"10.1109\/CIMCA.2005.1631572"},{"key":"33_CR26","doi-asserted-by":"crossref","unstructured":"Zhou, F., Qun, Z., Sornette, D., Jiang, L.: Cascading Logistic Regression Onto Gradient Boosted Decision Trees to Predict Stock Market Changes Using Technical Analysis (2018)","DOI":"10.2139\/ssrn.3218941"}],"container-title":["Advances in Intelligent Systems and Computing","Distributed Computing and Artificial Intelligence, 17th International Conference"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-53036-5_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,11]],"date-time":"2024-08-11T11:29:09Z","timestamp":1723375749000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-53036-5_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,7]]},"ISBN":["9783030530358","9783030530365"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-53036-5_33","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020,8,7]]},"assertion":[{"value":"7 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Distributed Computing and Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"L\u00b4Aquila","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dcai2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dcai-conference.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}