Exploratory Data analysis and sales forecasting of bigmart dataset using supervised and ANN algorithms
The essential concepts of sellers and buyers are supply and demand. Organizations must be able to accurately predict demand in order to establish plans. Sales Prediction is based on predicting sales for various Big Mart stores in order to adjust the business strategy based on the projected performan...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-10-01
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| Series: | Measurement: Sensors |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917422000228 |
| _version_ | 1817999713153056768 |
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| author | T.K. Thivakaran M. Ramesh |
| author_facet | T.K. Thivakaran M. Ramesh |
| author_sort | T.K. Thivakaran |
| collection | DOAJ |
| description | The essential concepts of sellers and buyers are supply and demand. Organizations must be able to accurately predict demand in order to establish plans. Sales Prediction is based on predicting sales for various Big Mart stores in order to adjust the business strategy based on the projected performance. For Big Mart firms, in this paper present a novel approach to demand forecast. The Big Mart firms' business model, for which the model is executed, contains multiple shops selling the same product at the same time across the country where the company maintains a marketplace model. This proposed Supervised and Artificial Neural Network Algorithms produces reliable results when compared to other learning methods. Feature selection, data transformation, and data exploration will all play essential roles. This method is used on data from Big-Mart Sales, where data is discovered, processed, and enough relevant data is taken to help forecast correct future outcomes. |
| first_indexed | 2024-04-14T03:12:43Z |
| format | Article |
| id | doaj.art-a0ed153f89cd4e4ca1e5fc4337220b38 |
| institution | Directory Open Access Journal |
| issn | 2665-9174 |
| language | English |
| last_indexed | 2024-04-14T03:12:43Z |
| publishDate | 2022-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Measurement: Sensors |
| spelling | doaj.art-a0ed153f89cd4e4ca1e5fc4337220b382022-12-22T02:15:34ZengElsevierMeasurement: Sensors2665-91742022-10-0123100388Exploratory Data analysis and sales forecasting of bigmart dataset using supervised and ANN algorithmsT.K. Thivakaran0M. Ramesh1Corresponding author.; Annamalai University, IndiaAnnamalai University, IndiaThe essential concepts of sellers and buyers are supply and demand. Organizations must be able to accurately predict demand in order to establish plans. Sales Prediction is based on predicting sales for various Big Mart stores in order to adjust the business strategy based on the projected performance. For Big Mart firms, in this paper present a novel approach to demand forecast. The Big Mart firms' business model, for which the model is executed, contains multiple shops selling the same product at the same time across the country where the company maintains a marketplace model. This proposed Supervised and Artificial Neural Network Algorithms produces reliable results when compared to other learning methods. Feature selection, data transformation, and data exploration will all play essential roles. This method is used on data from Big-Mart Sales, where data is discovered, processed, and enough relevant data is taken to help forecast correct future outcomes.http://www.sciencedirect.com/science/article/pii/S2665917422000228ANNMachine learningRandom forestRegressionSales forecastXgboost |
| spellingShingle | T.K. Thivakaran M. Ramesh Exploratory Data analysis and sales forecasting of bigmart dataset using supervised and ANN algorithms Measurement: Sensors ANN Machine learning Random forest Regression Sales forecast Xgboost |
| title | Exploratory Data analysis and sales forecasting of bigmart dataset using supervised and ANN algorithms |
| title_full | Exploratory Data analysis and sales forecasting of bigmart dataset using supervised and ANN algorithms |
| title_fullStr | Exploratory Data analysis and sales forecasting of bigmart dataset using supervised and ANN algorithms |
| title_full_unstemmed | Exploratory Data analysis and sales forecasting of bigmart dataset using supervised and ANN algorithms |
| title_short | Exploratory Data analysis and sales forecasting of bigmart dataset using supervised and ANN algorithms |
| title_sort | exploratory data analysis and sales forecasting of bigmart dataset using supervised and ann algorithms |
| topic | ANN Machine learning Random forest Regression Sales forecast Xgboost |
| url | http://www.sciencedirect.com/science/article/pii/S2665917422000228 |
| work_keys_str_mv | AT tkthivakaran exploratorydataanalysisandsalesforecastingofbigmartdatasetusingsupervisedandannalgorithms AT mramesh exploratorydataanalysisandsalesforecastingofbigmartdatasetusingsupervisedandannalgorithms |