{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T15:17:20Z","timestamp":1743088640796,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031646072"},{"type":"electronic","value":"9783031646089"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-64608-9_13","type":"book-chapter","created":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T05:01:59Z","timestamp":1719810119000},"page":"198-212","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Applying LSTM Recurrent Neural Networks to\u00a0Predict Revenue"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-1869-7365","authenticated-orcid":false,"given":"Luis Eduardo Pelin","family":"Cardoso","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4765-6459","authenticated-orcid":false,"given":"Andr\u00e9 C. P. de Leon F.","family":"de Carvalho","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8147-554X","authenticated-orcid":false,"given":"Marcos G.","family":"Quiles","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,7,2]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Cheriyan, S., Ibrahim, S., Mohanan, S., Treesa, S.: Intelligent sales prediction using machine learning techniques. In: 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE), pp. 53\u201358. IEEE (2018)","DOI":"10.1109\/iCCECOME.2018.8659115"},{"issue":"11","key":"13_CR2","first-page":"256","volume":"6","author":"L Diao","year":"2019","unstructured":"Diao, L., Wang, N.: Research on premium income prediction based on lstm neural network. Adv. Soc. Sci. Res. J. 6(11), 256\u2013266 (2019)","journal-title":"Adv. Soc. Sci. Res. J."},{"key":"13_CR3","unstructured":"Elmasdotter, A., Nystr\u00f6mer, C.: A comparative study between lstm and arima for sales forecasting in retail (2018)"},{"key":"13_CR4","unstructured":"Forge, B.: My bucks - financial management (2023). https:\/\/www.mybucks.io\/ (Accessed 14 December 2023)"},{"key":"13_CR5","unstructured":"Google: Google colab (2023). https:\/\/colab.research.google.com\/ (Accessed 14 December 2023)"},{"key":"13_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2022.101118","volume":"51","author":"QQ He","year":"2022","unstructured":"He, Q.Q., Wu, C., Si, Y.W.: Lstm with particle swam optimization for sales forecasting. Electron. Commer. Res. Appl. 51, 101118 (2022)","journal-title":"Electron. Commer. Res. Appl."},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Mishev, K., Gjorgjevikj, A., Vodenska, I., Chitkushev, L., Souma, W., Trajanov, D.: Forecasting corporate revenue by using deep-learning methodologies. In: 2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO), pp. 115\u2013120. IEEE (2019)","DOI":"10.1109\/ICCAIRO47923.2019.00026"},{"key":"13_CR8","unstructured":"Porter, M.E.: What is strategy? Harvard Business Review (reprint 96608), pp. 3\u20134 (1996)"},{"issue":"1","key":"13_CR9","doi-asserted-by":"publisher","first-page":"105","DOI":"10.3390\/make4010006","volume":"4","author":"A Schmidt","year":"2022","unstructured":"Schmidt, A., Kabir, M.W.U., Hoque, M.T.: Machine learning based restaurant sales forecasting. Mach. Learn. Knowl. Extract. 4(1), 105\u2013130 (2022)","journal-title":"Mach. Learn. Knowl. Extract."},{"key":"13_CR10","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1007\/978-3-030-14799-0_21","volume-title":"Intelligent Information and Database Systems","author":"Y-S Shih","year":"2019","unstructured":"Shih, Y.-S., Lin, M.-H.: A LSTM approach for sales forecasting of goods with short-term demands in E-commerce. In: Nguyen, N.T., Gaol, F.L., Hong, T.-P., Trawi\u0144ski, B. (eds.) ACIIDS 2019. LNCS (LNAI), vol. 11431, pp. 244\u2013256. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-14799-0_21"},{"key":"13_CR11","doi-asserted-by":"publisher","first-page":"124715","DOI":"10.1109\/ACCESS.2022.3224938","volume":"10","author":"UM Sirisha","year":"2022","unstructured":"Sirisha, U.M., Belavagi, M.C., Attigeri, G.: Profit prediction using arima, sarima and lstm models in time series forecasting: a comparison. IEEE Access 10, 124715\u2013124727 (2022)","journal-title":"IEEE Access"},{"key":"13_CR12","unstructured":"Staudemeyer, R.C., Morris, E.R.: Understanding lstm\u2013a tutorial into long short-term memory recurrent neural networks. arXiv preprint arXiv:1909.09586 (2019)"},{"key":"13_CR13","unstructured":"Tec, N.: Neural tec. https:\/\/neuraltec.app\/ (2023), (Accessed 14 December 2023)"},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Wang, C., Gao, Q.: High and low prices prediction of soybean futures with lstm neural network. In: 2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS), pp. 140\u2013143. IEEE (2018)","DOI":"10.1109\/ICSESS.2018.8663896"},{"issue":"2","key":"13_CR15","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1108\/IMDS-03-2019-0170","volume":"120","author":"T Weng","year":"2020","unstructured":"Weng, T., Liu, W., Xiao, J.: Supply chain sales forecasting based on lightgbm and lstm combination model. Indus. Manag. Data Syst. 120(2), 265\u2013279 (2020)","journal-title":"Indus. Manag. Data Syst."},{"key":"13_CR16","unstructured":"Womack, J.P., Jones, D.T., Roos, D.: The machine that changed the world. Rawson Associates (1990)"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-64608-9_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T05:08:19Z","timestamp":1719810499000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-64608-9_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031646072","9783031646089"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-64608-9_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"2 July 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hanoi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}