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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Indexes with Artificial Intelligence Description An account of the resource The forecasting of the Share market has been a popular research area, involving the analysis of input and output stock data using computer technology and algorithmic knowledge. This involves building unpredictable relationships among the data and analyzing the stock market trends to provide a reference for investors. The inception of artificial intelligence (AI) technology, blended with the web, immense data, and cloud computing has provided technical support for various industries. AI technology is employed to scrutinize and predict the equity market, exploring curvilinear associations amid stock market information, and furnishing a foundation for investors to formulate investment determinations. Predicting equity prices is a demanding undertaking due to diverse factors like governmental happenings, fiscal circumstances, business resolutions, investor mentality, and overseas currency hazards. The securities exchange is a vastly active and disordered framework, and producing precise projections of the securities exchange is of paramount significance. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar. Creator An entity primarily responsible for making the resource Fatima Y.; Asif M.; Nanjundan P.; George J.P. Source A related resource from which the described resource is derived Artificial Intelligence in Forecasting: Tools and Techniques, pp. 266-282. Publisher An entity responsible for making the resource available CRC Press 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/10.1201/9781003399292-17" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003399292-17</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195927463&amp;doi=10.1201%2F9781003399292-17&amp;partnerID=40&amp;md5=93e025680ce82a8cfd56c542a298336d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195927463&amp;doi=10.1201%2f9781003399292-17&amp;partnerID=40&amp;md5=93e025680ce82a8cfd56c542a298336d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104005150-4; 978-103250615-9 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Fatima Y., School of Commerce, Finance and Accountancy, CHRIST (deemed to be university), Pune Lavasa, India; Asif M., School of Commerce, Finance and Accountancy, CHRIST (deemed to be university), Pune Lavasa, India; Nanjundan P., Department of Data Science, CHRIST (deemed to be university), Pune Lavasa, India; George J.P., Department of Data Science, CHRIST (deemed to be university), Pune Lavasa, India