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 An Effective Time Series Analysis for Equity Market Prediction Using Deep Learning Model Subject The topic of the resource Deep Learning; Long Short Term Memory; Recurrent Neural Network; Stock Price Prediction Description An account of the resource A stock Exchange is a market where securities are traded. Every day, billions are traded at various stock exchanges across the world. In recent years prediction of movement of stock market is regarded as fascinating and has created a demand in financial market time series prediction. A precise forecasting of equity market is needed to provide higher returns for investors. Since there is high complexity in predicting stock market profits, developing models for it becomes difficult. The data mining and machine learning techniques has played an important role in Prediction of stock market movement. This study attempted to develop a deep learning model using Recurrent Neural Network for forecasting movement in the National Stock Exchange of India's benchmark broad based stock market index(NIFTY 50) for the Indian equity market. In this paper the NIFTY 50 index and INFYOSYS Ltd historical data from Yahoo finance companies has been selected for forecasting and analysis. 2019 IEEE. Creator An entity primarily responsible for making the resource Sachdeva A.; Jethwani G.; Manjunath C.; Balamurugan M.; Krishna A.V.N. Source A related resource from which the described resource is derived 2019 International Conference on Data Science and Communication, IconDSC 2019 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 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IconDSC.2019.8817035" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IconDSC.2019.8817035</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072782238&amp;doi=10.1109%2FIconDSC.2019.8817035&amp;partnerID=40&amp;md5=2587cbd9a6758a43bfb8894496348c8a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072782238&amp;doi=10.1109%2fIconDSC.2019.8817035&amp;partnerID=40&amp;md5=2587cbd9a6758a43bfb8894496348c8a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-153869319-3 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 Sachdeva A., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India; Jethwani G., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India; Manjunath C., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India; Balamurugan M., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India; Krishna A.V.N., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India