{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T12:23:41Z","timestamp":1764937421070,"version":"3.30.1"},"reference-count":30,"publisher":"Tech Science Press","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.32604\/iasc.2023.026255","type":"journal-article","created":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T05:57:26Z","timestamp":1654495046000},"page":"1151-1163","source":"Crossref","is-referenced-by-count":5,"title":["Holt-Winters Algorithm to Predict the Stock Value Using Recurrent Neural Network"],"prefix":"10.32604","volume":"35","author":[{"given":"M.","family":"Mohan","sequence":"first","affiliation":[]},{"given":"P.","family":"C. Kishore Raja","sequence":"additional","affiliation":[]},{"given":"P.","family":"Velmurugan","sequence":"additional","affiliation":[]},{"given":"A.","family":"Kulothungan","sequence":"additional","affiliation":[]}],"member":"17807","reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.1109\/TPAMI.2013.50","article-title":"Representation learning: A review and new perspectives","volume":"35","author":"Bengio","year":"2013","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"key":"ref2","series-title":"Proc. Conf. of the Int. Speech Communication Association","first-page":"1045","article-title":"Recurrent neural network based language model","author":"Mikolov","year":"2010"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1186\/s40854-019-0131-7","article-title":"Indian stock market prediction using artificial neural networks on tick data","volume":"5","author":"Selvamuthu","year":"2019","journal-title":"Financial Innovation"},{"key":"ref4","series-title":"Proc. Int. Conf. of Electronics, Communication and Aerospace Technology","first-page":"506","article-title":"Survey of stock market prediction using machine learning","volume":"2","author":"Sharma","year":"2017"},{"key":"ref5","series-title":"Proc. Int. Conf. on Smart Technologies in Computing, Electrical and Electronics","first-page":"203","article-title":"Analysis of various machine learning algorithm and hybrid model for stock market prediction using python","author":"Vazirani","year":"2020"},{"key":"ref6","series-title":"IEEE Int. Smart Cities Conf. (ISC2)","first-page":"1","article-title":"Stock market prediction using neural network through news on online social networks","author":"Chen","year":"2017"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1016\/j.knosys.2010.04.009","article-title":"MISMIS - A comprehensive decision support system for stock market investment","volume":"23","author":"Cho","year":"2010","journal-title":"Knowledge Based System"},{"key":"ref8","series-title":"Proc. IEEE WIC ACM Int. Conf. on Web Intelligence","first-page":"192","article-title":"Recommendation system based on prediction of user preference changes","author":"Inuzuka","year":"2016"},{"key":"ref9","series-title":"IEEE Int. Conf. on Big Data Analysis","first-page":"1","article-title":"Using social media mining technology to assist in price prediction of stock market","author":"Wang","year":"2016"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1109\/TKDE.2017.2763144","article-title":"Web media and stock markets: A survey and future directions from a big data perspective","volume":"30","author":"Li","year":"2018","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"ref11","series-title":"Proc. Int. Human Machine Systems and Cybernetics","first-page":"64","article-title":"A trust prediction method for recommendation system","author":"Yuji","year":"2017"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1177\/0092070394224006","article-title":"Further extensions of adaptive extended exponential smoothing and comparison with the M-Competition","volume":"22","author":"Mentzer","year":"1994","journal-title":"Journal of the Academy of Marketing Science"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"110493","DOI":"10.1109\/ACCESS.2021.3101952","article-title":"Reduced manual effort to label stock market data by applying a metaheuristics search: A case study from the Saudi stock market","volume":"9","author":"Alsulmi","year":"2021","journal-title":"IEEE Access"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"17287","DOI":"10.1109\/ACCESS.2019.2895252","article-title":"A prediction approach for stock market volatility based on time series data","volume":"7","author":"Idrees","year":"2019","journal-title":"in IEEE Access"},{"key":"ref15","series-title":"Plos One","first-page":"1","article-title":"A Deep Learning Framework for financial time series using stacked autoencoders and long short term memory","volume":"12","author":"Bao","year":"2017"},{"key":"ref16","series-title":"Proc. IEEE 10th Int. Conf. on Software Engineering and Service Science","first-page":"551","article-title":"Application of deep learning in stock market valuation index forecasting","author":"Li","year":"2019"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"167260","DOI":"10.1109\/ACCESS.2019.2953542","article-title":"Global stock market prediction based on stock chart images using deep Q-Network","volume":"7","author":"Lee","year":"2019","journal-title":"IEEE Access"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"150199","DOI":"10.1109\/ACCESS.2020.3015966","article-title":"Predicting stock market trends using machine learning and deep learning algorithms via continuous and binary data: A comparative analysis","volume":"8","author":"Nabipour","year":"2020","journal-title":"IEEE Access"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1007\/s00779-018-1121-x","article-title":"A novel recommendation system using Guba sentiment analysis","volume":"22","author":"Sun","year":"2018","journal-title":"Personal and Ubiquitous Computing"},{"key":"ref20","series-title":"IEEE Int. Conf. on Big Data Analysis","first-page":"4705","article-title":"Predicting the effects of news sentiments on the stock market","author":"Shah","year":"2018"},{"key":"ref21","series-title":"Proc Int. Conf. on Machine Learning, Big Data, Cloud and Parallel Computing","first-page":"491","article-title":"Efficacy of news sentiment for stock market prediction","author":"Kalra","year":"2019"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.neucom.2011.12.013","article-title":"A novel text mining approach to financial time series forecasting","volume":"83","author":"Wang","year":"2012","journal-title":"Neurocomputing"},{"key":"ref23","first-page":"172","article-title":"A feature fusion based forecasting model for financial time series","volume":"9","author":"Guo","year":"2014","journal-title":"Plos One"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"1707","DOI":"10.1109\/TLA.2020.9387641","article-title":"Evaluation of technical analysis trading rules in a artificial stock market environment","volume":"18","author":"Leles","year":"2020","journal-title":"IEEE Latin America Transactions"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1109\/JSYST.2018.2794462","article-title":"Forecasting stock market movement direction using sentiment analysis and support vector machine","volume":"13","author":"Ren","year":"2019","journal-title":"IEEE Systems Journal"},{"key":"ref26","series-title":"Proc. Int. Conf. for Convergence in Technology","first-page":"1199","article-title":"Combining of random forest estimates using LSboost for stock market index prediction","author":"Sharma","year":"2017"},{"key":"ref27","series-title":"Proc. Int. Conf. on Computing Intelligence and Data Science","first-page":"947","article-title":"Applicability of deep learning models for stock price forecasting an empirical study on BANKEX data","author":"Balaji","year":"2018"},{"key":"ref28","series-title":"Proc. Int. Conf. on Computing Intelligence and Data Science","first-page":"1351","article-title":"NSE stock market predicition using deep-learning models","author":"Hiransha","year":"2018"},{"key":"ref29","series-title":"proc. Int. Multidisciplinary Information Technology and Engineering Conf.","first-page":"1","article-title":"Stock market behavior prediction using stacked LSTM networks","author":"Ojo","year":"2019"},{"key":"ref30","first-page":"1791","article-title":"Back propagation network approach for prioritizing test cases in regression testing","volume":"9","author":"Mohan","year":"2017","journal-title":"Journal of Advanced Research in Dynamical and Control System"}],"container-title":["Intelligent Automation &amp; Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.techscience.com\/ueditor\/files\/iasc\/TSP_IASC-35-1\/TSP_IASC_26255\/TSP_IASC_26255.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T21:28:33Z","timestamp":1733520513000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/iasc\/v35n1\/48135"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":30,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023]]}},"URL":"https:\/\/doi.org\/10.32604\/iasc.2023.026255","relation":{},"ISSN":["1079-8587"],"issn-type":[{"type":"print","value":"1079-8587"}],"subject":[],"published":{"date-parts":[[2023]]}}}