Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Implementation of Time-Series Analysis: Prediction of Stock Prices using Machine Learning and Deep learning models: A Hybrid Approach Subject The topic of the resource ARIMA; FB Prophet; LSTM; Share Price Prediction; Time series analysis Description An account of the resource Experts in the finance system have long found it difficult to estimate stock values. Despite the Efficient - market hypothesis Principle claim that it is difficult to anticipate share prices with any degree of precision, research has demonstrated that share price movements could be anticipated with the proper levels of precision provided the correct parameters are chosen and the proper predictive models are created. individuals who are adaptable. The share market is unpredictable in essence, making its forecasting a difficult undertaking. Stock prices are affected by more than economic reasons. In this project, Arima, LSTM and Prophet models are used to predict the future way of behaving share price, the datasets has been obtained from NSE, share price prediction algorithms have been created and tested. According to the empirical findings, the LSTM model would be used to anticipate share prices rather well over a substantial amount of time with exactness. 2022 IEEE. Creator An entity primarily responsible for making the resource Basha M.S.A.; Senthil Kumar J.P.; Sucharitha M.M.; Ayesha S.; Laskhmi M.B. Source A related resource from which the described resource is derived 2022 IEEE North Karnataka Subsection Flagship International Conference, NKCon 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/NKCon56289.2022.10126935" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/NKCon56289.2022.10126935</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163106596&amp;doi=10.1109%2FNKCon56289.2022.10126935&amp;partnerID=40&amp;md5=17c65e1ede43c37c0a9c15c0b006e6d5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163106596&amp;doi=10.1109%2fNKCon56289.2022.10126935&amp;partnerID=40&amp;md5=17c65e1ede43c37c0a9c15c0b006e6d5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166545342-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Basha M.S.A., GITAM School of Business, Gandhi Institute of Technology and Management (Deemed to University), Bengaluru, India; Senthil Kumar J.P., GITAM School of Business, Gandhi Institute of Technology and Management (Deemed to University), Bengaluru, India; Sucharitha M.M., Christ (Deemed to University), Department of Professional Studies, Bengaluru, India; Ayesha S., Christ (Deemed to University), Department of Professional Studies, Bengaluru, India; Laskhmi M.B., Christ (Deemed to University), Department of Professional Studies, Bengaluru, India