{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T07:15:52Z","timestamp":1761808552485,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":7,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789811958670"},{"type":"electronic","value":"9789811958687"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-981-19-5868-7_9","type":"book-chapter","created":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T07:49:15Z","timestamp":1672559355000},"page":"101-111","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Sales Prediction Using ARIMA, Facebook\u2019s Prophet and XGBoost Model of Machine Learning"],"prefix":"10.1007","author":[{"given":"Sushila","family":"Ratre","sequence":"first","affiliation":[]},{"given":"Jyotsna","family":"Jayaraj","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,1,1]]},"reference":[{"key":"9_CR1","unstructured":"Matias AJ (2012) Budgeting and forecasting\u2014the quick reference handbook, 1st edn. Matias Interactive Learning"},{"key":"9_CR2","doi-asserted-by":"crossref","unstructured":"Permatasari CI, Sutopo W, Hisjam M (2018) Sales forecasting newspaper with ARIMA: a case study. AIP Conf Proc 1931:030017","DOI":"10.1063\/1.5024076"},{"key":"9_CR3","doi-asserted-by":"publisher","first-page":"184797901880867","DOI":"10.1177\/1847979018808673","volume":"10","author":"J Fattah","year":"2018","unstructured":"Fattah J, Ezzine L, Aman Z, el Moussami H, Lachhab A (2018) Forecasting of demand using ARIMA model. Int J Eng Bus Manage 10:184797901880867","journal-title":"Int J Eng Bus Manage"},{"key":"9_CR4","doi-asserted-by":"crossref","unstructured":"\u017dUni\u0107 E, Korjeni\u0107 K, Hod\u017ei\u0107 K, \u0110Onko D (2020) Application of Facebook\u2019s prophet algorithm for successful sales forecasting based on real-world data. Int J Comput Sci Inf Technol 12(2):23\u201336","DOI":"10.5121\/ijcsit.2020.12203"},{"key":"9_CR5","unstructured":"Saradhi RP, Nelaturi N (2018) An advanced sales forecasting system using XGBoost algorithm"},{"key":"9_CR6","unstructured":"Pahadi T, Rani P, Verma A (2020) Retail store sale prediction. [Online]. Easychair.org"},{"key":"9_CR7","unstructured":"Guo Y (2018) The 7 steps of machine learning\u2014towards data science. Medium. https:\/\/towardsdatascience.com\/the-7-steps-of-machine-learning-2877d7e5548e"}],"container-title":["Lecture Notes in Electrical Engineering","Machine Learning, Image Processing, Network Security and Data Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-19-5868-7_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T08:37:09Z","timestamp":1672562229000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-19-5868-7_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789811958670","9789811958687"],"references-count":7,"URL":"https:\/\/doi.org\/10.1007\/978-981-19-5868-7_9","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"type":"print","value":"1876-1100"},{"type":"electronic","value":"1876-1119"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"1 January 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}