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 Unveiling the Future: Exploring Stock Price Prediction in the Finance Sector through Machine Learning and Deep Learning - A Comprehensive Bibliometric Analysis Subject The topic of the resource Bibliographic Coupling component; Bibliometric; Co-authorship; Publication trends; R-studio; Vos Viewer Description An account of the resource The investigation of predicting share prices is a captivating and beneficial area of study within the realm of economic research. precise projections and findings can potentially benefit shareholders by reducing the risk of making suboptimal investment selections. The objective of this investigation is to examine the present state of research pertaining to the prognostication of share price predictions through the utilization of Machine Learning (ML) and Deep Learning techniques. The present study examined the existing body of scientific works on methods involving DL and ML in the context of predicting the value of stocks. This study presents a comprehensive overview of research trends, methodologies, and applications in a particular field by conducting a bibliometric analysis of publications indexed in the Scopus database. Drawing from the presented data, recommendations for optimal methodologies can be formulated. The data was visually represented through the utilization of the R programming language and Vos Viewer software. The investigation additionally discerns the primary authors, institutions, and nations that are making contributions to this particular field of research. The outcomes of this investigation possess the potential to guide future research trajectories and offer significant perspectives for professionals and policymakers who are keen on utilizing machine learning and deep learning in the financial sector. 2024 IEEE. Creator An entity primarily responsible for making the resource Martha Sucharitha M.; Basha M.S.A.; Prabhavathi C.; Christina S.; Varikunta O. Source A related resource from which the described resource is derived International Conference on Smart Systems for Applications in Electrical Sciences, ICSSES 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSSES62373.2024.10561389" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSSES62373.2024.10561389</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197864939&amp;doi=10.1109%2FICSSES62373.2024.10561389&amp;partnerID=40&amp;md5=98fb047ec73bdf84444b07fc0e6876fd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197864939&amp;doi=10.1109%2fICSSES62373.2024.10561389&amp;partnerID=40&amp;md5=98fb047ec73bdf84444b07fc0e6876fd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036404-0 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 Martha Sucharitha M., Christ (Deemed to be University), Department of Professional Studies, Bengaluru, India; Basha M.S.A., Gandhi Institute of Technology and Management (Deemed to be University), GITAM School of Business, Bengaluru, India; Prabhavathi C., Christ (Deemed to be University), Department of Professional Studies, Bengaluru, India; Christina S., Christ (Deemed to be University), Department of Professional Studies, Bengaluru, India; Varikunta O., CMRIT Engineering College, Department of MBA, Hyderabad, India