{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:10:55Z","timestamp":1750219855617,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,8,6]],"date-time":"2023-08-06T00:00:00Z","timestamp":1691280000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2022K1A3A1A79089461"],"award-info":[{"award-number":["2022K1A3A1A79089461"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,8,6]]},"DOI":"10.1145\/3599957.3606240","type":"proceedings-article","created":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T17:48:17Z","timestamp":1693331297000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Long Short-Term Memory Network (LSTM) based Stock Price Prediction"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5796-9424","authenticated-orcid":false,"given":"Akshat","family":"Gaurav","sequence":"first","affiliation":[{"name":"Ronin Institute, Montclair, New Jersey, US"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7549-4429","authenticated-orcid":false,"given":"Varsha","family":"Arya","sequence":"additional","affiliation":[{"name":"Asia University, Taichung, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7992-9901","authenticated-orcid":false,"given":"Kwok Tai","family":"Chui","sequence":"additional","affiliation":[{"name":"Hong Kong Metropolitan University, Ho Man Tin, Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4929-4698","authenticated-orcid":false,"given":"Brij B.","family":"Gupta","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan &amp; Lebanese American University, Beirut, Lebanon"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2276-2378","authenticated-orcid":false,"given":"Chang","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Gachon University, Seongnam, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8921-5443","authenticated-orcid":false,"given":"O-Joun","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, The Catholic University of Korea, Bucheon, Republic of Korea"}]}],"member":"320","published-online":{"date-parts":[[2023,8,29]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.4018\/IJSWIS.297032"},{"key":"e_1_3_2_1_2_1","volume-title":"Bagga and Harshita Patel","author":"Anunay","year":"2022","unstructured":"Anunay R. Bagga and Harshita Patel . 2022 . Stock Market Forecasting using Ensemble Learning and Statistical Indicators. Journal of Engineering Research ( 2022). Anunay R. Bagga and Harshita Patel. 2022. Stock Market Forecasting using Ensemble Learning and Statistical Indicators. Journal of Engineering Research (2022)."},{"volume-title":"Combinatorial code classification & vulnerability rating. In 2020 second international conference on transdisciplinary AI (TransAI)","author":"Barr Joseph R","key":"e_1_3_2_1_3_1","unstructured":"Joseph R Barr , Peter Shaw , Faisal N Abu-Khzam , Sheng Yu , Heng Yin , and Tyler Thatcher . 2020. Combinatorial code classification & vulnerability rating. In 2020 second international conference on transdisciplinary AI (TransAI) . IEEE , 80--83. Joseph R Barr, Peter Shaw, Faisal N Abu-Khzam, Sheng Yu, Heng Yin, and Tyler Thatcher. 2020. Combinatorial code classification & vulnerability rating. In 2020 second international conference on transdisciplinary AI (TransAI). IEEE, 80--83."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.4018\/IJCAC.297106"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.4018\/IJCAC.2022010105"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21196412"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.3390\/math10050679"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11213529"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1093\/rof\/rfac052"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2201573119"},{"key":"e_1_3_2_1_11_1","volume-title":"Patel Ansh Satishbhai, Padariya Jagrutkumar Kaushikbhai, and Parmar Sahaj Ketan.","author":"Hemangkumar Patel Vraj","year":"2023","unstructured":"Patel Vraj Hemangkumar , Patel Aksh Hemantkumar , Patel Ansh Satishbhai, Padariya Jagrutkumar Kaushikbhai, and Parmar Sahaj Ketan. 2023 . Stock Price Prediction Using Machine Learning. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT ( 2023). Patel Vraj Hemangkumar, Patel Aksh Hemantkumar, Patel Ansh Satishbhai, Padariya Jagrutkumar Kaushikbhai, and Parmar Sahaj Ketan. 2023. Stock Price Prediction Using Machine Learning. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2023)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-020-03690-w"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1080\/14697688.2022.2041208"},{"key":"e_1_3_2_1_14_1","volume-title":"Predicting stock market movements using network science: An information theoretic approach. Applied network science 2, 1","author":"Kim Minjun","year":"2017","unstructured":"Minjun Kim and Hiroki Sayama . 2017. Predicting stock market movements using network science: An information theoretic approach. Applied network science 2, 1 ( 2017 ), 1--14. Minjun Kim and Hiroki Sayama. 2017. Predicting stock market movements using network science: An information theoretic approach. Applied network science 2, 1 (2017), 1--14."},{"key":"e_1_3_2_1_15_1","volume-title":"Biased or Limited: Modeling Sub-Rational Human Investors in Financial Markets. ArXiv abs\/2210.08569","author":"Liu Penghang","year":"2022","unstructured":"Penghang Liu , Kshama Dwarakanath , and Svitlana Vyetrenko . 2022. Biased or Limited: Modeling Sub-Rational Human Investors in Financial Markets. ArXiv abs\/2210.08569 ( 2022 ). Penghang Liu, Kshama Dwarakanath, and Svitlana Vyetrenko. 2022. Biased or Limited: Modeling Sub-Rational Human Investors in Financial Markets. ArXiv abs\/2210.08569 (2022)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.4018\/IJCAC.297098"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.4018\/IJSSCI.313593"},{"key":"e_1_3_2_1_18_1","volume-title":"International Journal of Image and Graphics","author":"Venkateswra Rao K.","year":"2023","unstructured":"K. Venkateswra Rao and Bandi Venkata Ramana Reddy . 2023. HM-SMF: An Efficient Strategy Optimization using a Hybrid Machine Learning Model for Stock Market Prediction . International Journal of Image and Graphics ( 2023 ). K. Venkateswra Rao and Bandi Venkata Ramana Reddy. 2023. HM-SMF: An Efficient Strategy Optimization using a Hybrid Machine Learning Model for Stock Market Prediction. International Journal of Image and Graphics (2023)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2018.2794462"},{"key":"e_1_3_2_1_20_1","volume-title":"STOCK PRICE PREDICTION USING MACHINE LEARNING -- AN UNPRECEDENTED APPROACH. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","author":"Sainath Gandhe","year":"2023","unstructured":"Gandhe Sainath and Asst Prof . Nandini. 2023. STOCK PRICE PREDICTION USING MACHINE LEARNING -- AN UNPRECEDENTED APPROACH. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT ( 2023 ). Gandhe Sainath and Asst Prof. Nandini. 2023. STOCK PRICE PREDICTION USING MACHINE LEARNING -- AN UNPRECEDENTED APPROACH. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2023)."},{"key":"e_1_3_2_1_21_1","first-page":"1","article-title":"Cloud-based multiclass anomaly detection and categorization using ensemble learning","volume":"11","author":"Shahzad Faisal","year":"2022","unstructured":"Faisal Shahzad , Abdul Mannan , Abdul Rehman Javed , Ahmad S Almadhor , Thar Baker , Dhiya Al-Jumeily OBE, 2022 . Cloud-based multiclass anomaly detection and categorization using ensemble learning . Journal of Cloud Computing 11 , 1 (2022), 1 -- 12 . Faisal Shahzad, Abdul Mannan, Abdul Rehman Javed, Ahmad S Almadhor, Thar Baker, Dhiya Al-Jumeily OBE, et al. 2022. Cloud-based multiclass anomaly detection and categorization using ensemble learning. Journal of Cloud Computing 11, 1 (2022), 1--12.","journal-title":"Journal of Cloud Computing"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.4018\/IJSWIS.297143"},{"key":"e_1_3_2_1_23_1","volume-title":"Machine Learning Models in Stock Market Prediction. ArXiv abs\/2202.09359","author":"Singh Gurjeet","year":"2022","unstructured":"Gurjeet Singh . 2022. Machine Learning Models in Stock Market Prediction. ArXiv abs\/2202.09359 ( 2022 ). Gurjeet Singh. 2022. Machine Learning Models in Stock Market Prediction. ArXiv abs\/2202.09359 (2022)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2022.10.001"},{"key":"e_1_3_2_1_25_1","volume-title":"Incorporating Transformers and Attention Networks for Stock Movement Prediction. Complex. 2022","author":"Li Ya","year":"2022","unstructured":"Ya wei Li , Shuqi Lv , Xinghua Liu , and Qiuyue Zhang . 2022. Incorporating Transformers and Attention Networks for Stock Movement Prediction. Complex. 2022 ( 2022 ), 7739087:1-7739087:10. Ya wei Li, Shuqi Lv, Xinghua Liu, and Qiuyue Zhang. 2022. Incorporating Transformers and Attention Networks for Stock Movement Prediction. Complex. 2022 (2022), 7739087:1-7739087:10."},{"key":"e_1_3_2_1_26_1","volume-title":"Research on Influential Factors in Stock Market Prediction with LSTM. In 2022 7th International Conference on Big Data Analytics (ICBDA). IEEE, 25--29","author":"Zhang Xu","year":"2022","unstructured":"Xu Zhang , Li Zhang , Lingjun Xu , and Yue Jiang . 2022 . Research on Influential Factors in Stock Market Prediction with LSTM. In 2022 7th International Conference on Big Data Analytics (ICBDA). IEEE, 25--29 . Xu Zhang, Li Zhang, Lingjun Xu, and Yue Jiang. 2022. Research on Influential Factors in Stock Market Prediction with LSTM. In 2022 7th International Conference on Big Data Analytics (ICBDA). IEEE, 25--29."}],"event":{"name":"RACS '23: International Conference on Research in Adaptive and Convergent Systems","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing"],"location":"Gdansk Poland","acronym":"RACS '23"},"container-title":["Proceedings of the International Conference on Research in Adaptive and Convergent Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3599957.3606240","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3599957.3606240","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:13Z","timestamp":1750178833000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3599957.3606240"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,6]]},"references-count":26,"alternative-id":["10.1145\/3599957.3606240","10.1145\/3599957"],"URL":"https:\/\/doi.org\/10.1145\/3599957.3606240","relation":{},"subject":[],"published":{"date-parts":[[2023,8,6]]},"assertion":[{"value":"2023-08-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}