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 Predicting Stock Market Price Movement Using Machine Learning Technique: Evidence from India Subject The topic of the resource Artificial Neural network; GBM; Investment component; Machine Learning; Stock Price Prediction Description An account of the resource The stock market is uncertain, volatile, and multidimensional. Stock prices have been difficult to predict since they are influenced by a variety of factors. In order to make critical investment and financial decisions, investors and analysts are interested in predicting stock prices. Predicting a stock's price entails developing price pathways that a stock might take in the future. ANN and mathematical Geometric Brownian movement technique were employed in this study to forecast a stock market closing price of Indian companies. The comparative analysis indicates that the Geometric Brownian Method is better than ANN in giving better MAPE and RMSE Values. 2022 IEEE. Creator An entity primarily responsible for making the resource Praveen Kumar T.; Mallieswari R.; Kirupa Priyadarsini M. Source A related resource from which the described resource is derived 2022 International Conference on Interdisciplinary Research in Technology and Management, IRTM 2022 - Proceedings 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/IRTM54583.2022.9791640" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IRTM54583.2022.9791640</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133465251&amp;doi=10.1109%2FIRTM54583.2022.9791640&amp;partnerID=40&amp;md5=0c9edd5a6bc77fed487054a9c1135080" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133465251&amp;doi=10.1109%2fIRTM54583.2022.9791640&amp;partnerID=40&amp;md5=0c9edd5a6bc77fed487054a9c1135080</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547886-1 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 Praveen Kumar T., Business And Management Christ, (Deemed To Be University), Bengaluru, India; Mallieswari R., Ramaiah Institute Of Management, Management Department, India; Kirupa Priyadarsini M., Psg Institute Of Management, Management Department, India