{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T11:40:11Z","timestamp":1755862811323,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":12,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,8]],"date-time":"2023-12-08T00:00:00Z","timestamp":1701993600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,8]]},"DOI":"10.1145\/3659211.3659343","type":"proceedings-article","created":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T16:22:21Z","timestamp":1716999741000},"page":"767-771","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Improving Stock Price Prediction using Linear Regression and Long Short-Term Memory Model (LR-LSTM)"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0685-3314","authenticated-orcid":false,"given":"Haoyan","family":"Wu","sequence":"first","affiliation":[{"name":"School of Information and Communication Studies, University College Dublin, Ireland"}]}],"member":"320","published-online":{"date-parts":[[2024,5,29]]},"reference":[{"issue":"2","key":"e_1_3_2_1_1_1","first-page":"115","article-title":"A comparison of financial performance predictions by artificial neural networks, decision trees, and multiple regression","volume":"51","author":"Johnson T. C.","year":"2001","unstructured":"Johnson, T. C., & Soenen, L. A. 2001. A comparison of financial performance predictions by artificial neural networks, decision trees, and multiple regression. Journal of Business Research, 51(2), 115-125.","journal-title":"Journal of Business Research"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Hochreiter S. & Schmidhuber J. 1997. Long short-term memory. Neural computation 9(8) 1735-1780.","DOI":"10.1162\/neco.1997.9.8.1735"},{"issue":"21","key":"e_1_3_2_1_3_1","first-page":"7493","article-title":"A hybrid stock trading system using genetic network programming and mean\u2013variance analysis","volume":"42","author":"Li Y.","year":"2015","unstructured":"Li, Y., Zhang, X., & Wang, L. 2015. A hybrid stock trading system using genetic network programming and mean\u2013variance analysis. Expert Systems with Applications, 42(21), 7493-7501.","journal-title":"Expert Systems with Applications"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05532-z"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICVRIS.2019.00050"},{"key":"e_1_3_2_1_6_1","volume-title":"September. Stock Price Prediction Based on Lstm and Bert. In 2022 International Conference on Machine Learning and Cybernetics (ICMLC) (pp. 12-17)","author":"Weng X.","year":"2022","unstructured":"Weng, X., Lin, X., & Zhao, S. 2022, September. Stock Price Prediction Based on Lstm and Bert. In 2022 International Conference on Machine Learning and Cybernetics (ICMLC) (pp. 12-17). IEEE."},{"key":"e_1_3_2_1_7_1","volume-title":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (pp. 695-699)","author":"Reddy P. V.","year":"2022","unstructured":"Reddy, P. V., & Kumar, S. M. 2022, December. A Novel Approach to Improve Accuracy in Stock Price Prediction using Gradient Boosting Machines Algorithm compared with Naive Bayes Algorithm. In 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (pp. 695-699). IEEE."},{"key":"e_1_3_2_1_8_1","volume-title":"September. Price Prediction Using Time-Series Algorithms for Stocks Listed on Bursa Malaysia. In 2021 2nd International Conference on Artificial Intelligence and Data Sciences (AiDAS) (pp. 1-5). IEEE.","author":"Choy Y. T.","year":"2021","unstructured":"Choy, Y. T., Hoo, M. H., & Khor, K. C. 2021, September. Price Prediction Using Time-Series Algorithms for Stocks Listed on Bursa Malaysia. In 2021 2nd International Conference on Artificial Intelligence and Data Sciences (AiDAS) (pp. 1-5). IEEE."},{"volume-title":"Stock Market Prediction Using Historical Stock Prices and Dependence on Other Companies In Automotive Sector. In 2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 425-431)","author":"Sharma N.","key":"e_1_3_2_1_9_1","unstructured":"Sharma, N., & Mohan, B. R. 2022, September. Stock Market Prediction Using Historical Stock Prices and Dependence on Other Companies In Automotive Sector. In 2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 425-431). IEEE."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/PDGC50313.2020.9315800"},{"key":"e_1_3_2_1_11_1","volume-title":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN) (pp. 1-4). IEEE.","author":"Kavinnilaa J.","year":"2021","unstructured":"Kavinnilaa, J., Hemalatha, E., Jacob, M. S., & Dhanalakshmi, R. 2021, July. Stock price prediction based on LSTM deep learning model. In 2021 International Conference on System, Computation, Automation and Networking (ICSCAN) (pp. 1-4). IEEE."},{"key":"e_1_3_2_1_12_1","volume-title":"September. Prediction of the Stock Adjusted Closing Price Based on Improved PSO-LSTM Neural Network. In 2022 International Conference on Machine Learning and Cybernetics (ICMLC) (pp. 43-48)","author":"Luo Y. X.","year":"2022","unstructured":"Luo, Y. X., & Ji, Y. 2022, September. Prediction of the Stock Adjusted Closing Price Based on Improved PSO-LSTM Neural Network. In 2022 International Conference on Machine Learning and Cybernetics (ICMLC) (pp. 43-48). IEEE."}],"event":{"name":"BDEIM 2023: 2023 4th International Conference on Big Data Economy and Information Management","acronym":"BDEIM 2023","location":"Zhengzhou China"},"container-title":["Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3659211.3659343","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3659211.3659343","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T11:01:31Z","timestamp":1755860491000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3659211.3659343"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,8]]},"references-count":12,"alternative-id":["10.1145\/3659211.3659343","10.1145\/3659211"],"URL":"https:\/\/doi.org\/10.1145\/3659211.3659343","relation":{},"subject":[],"published":{"date-parts":[[2023,12,8]]},"assertion":[{"value":"2024-05-29","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}