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dc.rights.licenseAll rights reserveden_US
dc.contributor.advisorTorres Batista, Nelliud D.
dc.contributor.authorSantaella Colón, José Gil
dc.date.accessioned2020-06-23T15:05:55Z
dc.date.available2020-06-23T15:05:55Z
dc.date.issued2019
dc.identifier.citationSantaella Colón, J. G. (2019). Data mining techniques and machine learning model for Walmart weekly sales forecast [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/174
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractThe ability to forecast data accurately is extremely valuable in a vast array of domains such as health, sales, finance, weather or sports. Presented here is the study and implementation of data mining techniques and ensemble regression algorithm employed on sales data, consisting of weekly retail sales numbers from different departments in Walmart retail stores all over the United States of America over the period of 3 years with pre-holiday and holiday data presenting a spike in sales. The model implemented for prediction is Random. The metric to evaluate the model was the Mean Absolute Error (MAE) value. An analysis was performed to evaluate the model and its ability to forecast accurately. It is also notable that artificial neural networks can improve the performance and achieve highly accurate results. Key Terms ⎯ Machine Learning, Mean Absolute Error, Neural Networks, Random Forest, Sales Forecasting.en_US
dc.language.isoen_USen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.ispartofComputer Science
dc.relation.ispartofseriesFall-2019
dc.relation.haspartSan Juan Campusen_US
dc.subject.lcshMachine learning
dc.subject.lcshData mining--Statistical methods
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Research
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Posters
dc.titleData mining techniques and machine learning model for Walmart weekly sales forecasten_US
dc.typeArticleen_US
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US


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