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 A Data Mining approach on the Performance of Machine Learning Methods for Share Price Forecasting using the Weka Environment Subject The topic of the resource Data Mining; Gaussian Process and Weka; Multi-layer Perceptron; SMO Reg; Stock Price Prediction Description An account of the resource It is widely agreed that the share price is too volatile to be reliably predicted. Several experts have worked to improve the likelihood of generating a profit from share investing using various approaches and methods. When used in reality, these methods and algorithms often have too low of a success rate to be helpful. The extreme volatility of the marketplace is a significant contributor. This article demonstrates the use of data mining methods like WEKA to study share prices. For this research's sake, we have selected a HCL Tech share. Multilayer perceptron's, Gaussian Process and Sequential minimal optimization have been employed as the three prediction methods. These algorithms that develop optimal rules for share market analysis have been incorporated into Weka. We have transformed the attributes of open, high, low, close and adj-close prices forecasted share for the next 30 days. Compare actual and predicted values of three models' side by side. We have visualized 1step ahead and the future forecast of three models. The Evaluation metrics of RMSE, MAPE, MSE, and MAE are calculated. The outcomes achieved by the three methods have been contrasted. Our experimental findings show that Sequential minimal optimization provided more precise results than the other method on this dataset. 2023 IEEE. Creator An entity primarily responsible for making the resource Uma Devi A.; Vishal Kumar R.; Shanmugha Priya P.; Amzad Basha M.S.; Martha Sucharitha M.; Oveis P.M. Source A related resource from which the described resource is derived 2023 5th International Conference on Electrical, Computer and Communication Technologies, ICECCT 2023 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICECCT56650.2023.10179772" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICECCT56650.2023.10179772</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166623627&amp;doi=10.1109%2FICECCT56650.2023.10179772&amp;partnerID=40&amp;md5=9cf5b1da0c0d680d0926ce202a144a32" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166623627&amp;doi=10.1109%2fICECCT56650.2023.10179772&amp;partnerID=40&amp;md5=9cf5b1da0c0d680d0926ce202a144a32</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166549360-4 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 Uma Devi A., SRM Valliammai Engineering College, Department of Management Studies, Chengalpattu, India; Vishal Kumar R., Kalasaligam Academy of Research and Education, Department of Business Administration, Coimbatore, India; Shanmugha Priya P., Sri Krishna College of Technology, Coimbatore, India; Amzad Basha M.S., GITAM School of Business, Gandhi Institute of Technology and Management (Deemed to Be University), Bengaluru, India; Martha Sucharitha M., Christ (Deemed to Be University), Department of Professional Studies, Bengaluru, India; Oveis P.M., GITAM School of Business, Gandhi Institute of Technology and Management (Deemed to Be University), Bengaluru, India