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 Articles Article Faculty Publications -Articles 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 Management and Sales Forecasting of an E-commerce Information System Using Data Mining and Convolutional Neural Networks Subject The topic of the resource Convolutional Neural Networks; Data Mining; E-commerce; Sales Forecasting Description An account of the resource The exponential development of e-commerce in recent decades has enhanced convenience for individuals. Compared to the conventional business environment, e-commerce is characterized by increased dynamism and complexity, resulting in several obstacles. Data mining assists individuals in effectively addressing these difficulties. Traditional data mining cannot efficiently use big data in the power provider industry. It heavily relies on time-consuming and labor-intensive feature engineering, and the resulting model could be more easily scalable. Convolutional Neural Networks (CNN) can efficiently use vast amounts of data and autonomously extract valuable elements from the original input, resulting in increased effectiveness. This article utilizes a CNN to extract valuable insights from e-commerce information to forecast commodities sales accurately and proposes a CNN-based Sales Forecasting Model (CNN-SFM). The findings indicate that using data mining and CNN yields a high level of precision in forecasting forthcoming people buying capacity data. The correlation variable between actual usage information and projected usage information was 0.98, and the highest mean error was just 1.78%. Data mining can effectively extract hidden relevant information and forecast future consumption habits for e-commerce systems. CNN demonstrates proficiency in accurately predicting forthcoming consumption power and trends. The Research Publication. Creator An entity primarily responsible for making the resource David Winster Praveenraj D.; Prabha T.; Kalyan Ram M.; Muthusundari S.; Madeswaran A. Source A related resource from which the described resource is derived Indian Journal of Information Sources and Services, Vol-14, No. 2, pp. 139-145. Publisher An entity responsible for making the resource available The Research Publication 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/10.51983/ijiss-2024.14.2.20" target="_blank" rel="noreferrer noopener">https://doi.org/10.51983/ijiss-2024.14.2.20</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200140267&amp;doi=10.51983%2Fijiss-2024.14.2.20&amp;partnerID=40&amp;md5=d1011f3662811849e94ba1c5aa726c28" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200140267&amp;doi=10.51983%2fijiss-2024.14.2.20&amp;partnerID=40&amp;md5=d1011f3662811849e94ba1c5aa726c28</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22316094 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant David Winster Praveenraj D., School of Business and Management, Christ University, Bangalore, India; Prabha T., Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India; Kalyan Ram M., Department of Computer Science and Engineering, Aditya Engineering College, Surampalem, India; Muthusundari S., Department of Computer Science and Engineering, R.M.D. Engineering College, Kavaraipettai, India; Madeswaran A., Department of School of Business Management, Christ University, Bengaluru, India