{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T22:00:18Z","timestamp":1763071218588,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030991876"},{"type":"electronic","value":"9783030991883"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-99188-3_4","type":"book-chapter","created":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T10:51:26Z","timestamp":1648205486000},"page":"36-57","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Enterprise Economic Forecasting Method Based on ARIMA-LSTM Model"],"prefix":"10.1007","author":[{"given":"Xiaofei","family":"Dong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuesen","family":"Zong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinlong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,3,25]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"Zhang, C.: Intelligent Internet of things service based on artificial intelligence technology. In: 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), Nanchang, China, pp. 731\u2013734 (2021)","DOI":"10.1109\/ICBAIE52039.2021.9390061"},{"issue":"09","key":"4_CR2","first-page":"25","volume":"2019","author":"X Wang","year":"2019","unstructured":"Wang, X.: The difference analysis of enterprise operating income and VAT taxable sales. Journal 2019(09), 25\u201327 (2019)","journal-title":"Journal"},{"issue":"03","key":"4_CR3","first-page":"163","volume":"2005","author":"D Xiao","year":"2005","unstructured":"Xiao, D., Chen, R., Wang, Z.: Performance integration evaluation of investment decision-making of firm based on fuzzy set and BP neural network. Journal 2005(03), 163\u2013166 (2005)","journal-title":"Journal"},{"key":"4_CR4","doi-asserted-by":"crossref","unstructured":"Wang, T.: Research on enterprise economic risk forecast model based on Big Data fusion. In: 2020 International Conference on Big Data and Informatization Education (ICBDIE), Zhangjiajie, China, pp. 5\u20139 (2020)","DOI":"10.1109\/ICBDIE50010.2020.00009"},{"issue":"1","key":"4_CR5","first-page":"7657","volume":"32","author":"J Barker","year":"2018","unstructured":"Barker, J., Gajewar, A., Golyaev, K.: Secure and automated enterprise revenue forecasting. Journal 32(1), 7657\u20137664 (2018)","journal-title":"Journal"},{"key":"4_CR6","doi-asserted-by":"crossref","unstructured":"Hryhorkiv, V., Buiak, L., Verstiak, A.: Forecasting financial time series using combined ARIMA-ANN algorithm. In: 2020 10th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf, Germany, pp. 455\u2013458 (2020)","DOI":"10.1109\/ACIT49673.2020.9208859"},{"key":"4_CR7","unstructured":"Feng, J., Li, H.: Research on macroeconomic forecasting technology based on optimized wavelet neural network. Journal 42(07), 181\u2013183, 186(2019)"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Lei, H., Cailan, H.: Comparison of multiple machine learning models based on enterprise revenue forecasting. In: 2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS), Shenyang, China, pp. 354\u2013359 (2021)","DOI":"10.1109\/ACCTCS52002.2021.00077"},{"issue":"12","key":"4_CR9","first-page":"200","volume":"28","author":"W Sheng","year":"2019","unstructured":"Sheng, W., Zhao, H., Sun, Y.: Sales forecasting model based on BP neural network optimized by improved genetic algorithms. Journal 28(12), 200\u2013204 (2019)","journal-title":"Journal"},{"issue":"2","key":"4_CR10","first-page":"133","volume":"30","author":"J Wu","year":"2020","unstructured":"Wu, J., Ren, S., Zhang, W.: A daily sales forecasting method based on LSTM model. Journal 30(2), 133\u2013137 (2020)","journal-title":"Journal"},{"key":"4_CR11","unstructured":"Xu, M., Ji, C., Zhong, C.: GDP growth forecast method based on electricity consumption. In: Proceedings of 2017 Power Industry Informatization Annual Conference, pp. 224\u2013227. Posts and Telecommunications Press, China (2017)"},{"issue":"12","key":"4_CR12","first-page":"147","volume":"2020","author":"R Wang","year":"2020","unstructured":"Wang, R., Long, Z.: Research on the relationship between Internet of things and regional economic development. Journal 2020(12), 147\u2013148 (2020)","journal-title":"Journal"},{"issue":"02","key":"4_CR13","first-page":"24","volume":"2020","author":"Q Chen","year":"2020","unstructured":"Chen, Q.: Significance and function of Internet of things in economic development. Journal 2020(02), 24\u201325 (2020)","journal-title":"Journal"},{"issue":"04","key":"4_CR14","first-page":"533","volume":"45","author":"K Tang","year":"2017","unstructured":"Tang, K., Hao, Z., Yixie, B.: Evaluation of prediction methods for parking occupancy rate. Journal 45(04), 533\u2013543 (2017)","journal-title":"Journal"},{"issue":"02","key":"4_CR15","first-page":"128","volume":"34","author":"N Lin","year":"2019","unstructured":"Lin, N.: ARIMA model based on ensemble empirical mode decomposition for industry electricity sales prediction. Journal 34(02), 128\u2013133 (2019)","journal-title":"Journal"},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"Wang, Z., Zhao, G., Wang, L.: Power consumption forecast of energy-intensive enterprises based on power marketing business data. In: 2020 IEEE 5th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), Chengdu, China, pp. 241\u2013245 (2020)","DOI":"10.1109\/ICCCBDA49378.2020.9095561"},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"Bo\u0161tjan\u010di\u010d, R., Tim\u010denko, V., Kabovi\u0107, M.: Industrial Internet: architecture, characteristics and implementation challenges. In: 2021 20th International Symposium INFOTEH-JAHORINA (INFOTEH). East Sarajevo, Bosnia and Herzegovina, pp. 1\u20134 (2021)","DOI":"10.1109\/INFOTEH51037.2021.9400694"},{"issue":"6","key":"4_CR18","first-page":"716","volume":"19","author":"H Akaike","year":"1974","unstructured":"Akaike, H.: A new look at the statistical model identification. Journal 19(6), 716\u2013723 (1974)","journal-title":"Journal"},{"key":"4_CR19","volume-title":"Fundamentals of Statistics","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Li, Q.: Fundamentals of Statistics. Northeast University of Finance and Economics Press, Shenyang, China (2019)"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Intelligent Technologies for Interactive Entertainment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-99188-3_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T10:51:49Z","timestamp":1648205509000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-99188-3_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030991876","9783030991883"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-99188-3_4","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"25 March 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"INTETAIN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Technologies for Interactive Entertainment","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"intetain2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/intetain.eai-conferences.org\/2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy+","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"25","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}