Forecasting of Demand in Retail and Store Multichannel using Deep Learning
| dc.contributor.guide | Dhaka, Vinti | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Saini, Monika | |
| dc.date.accessioned | 2025-01-10T11:26:05Z | |
| dc.date.available | 2025-01-10T11:26:05Z | |
| dc.date.awarded | 2024 | |
| dc.date.completed | 2024 | |
| dc.date.registered | 2019 | |
| dc.description.abstract | In recent years, there has been a lot of new research into prognostication and rational decision making. As a result of this research ,numerous now forecasting methods have emerged. All quantitative approaches are based on cutting-edge statistical understanding. Prospective forecasting is the process of preparing a statement regarding future events, with the possible exception of facts currently known. The primary goal of the forecasting work is to deliver awareness essential information of day-today decisions. newline | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | None | |
| dc.format.dimensions | 28 | |
| dc.format.extent | ix; 119 p. | |
| dc.identifier.researcherid | ||
| dc.identifier.uri | http://hdl.handle.net/10603/614004 | |
| dc.language | English | |
| dc.publisher.institution | Mathematics | |
| dc.publisher.place | Hisar | |
| dc.publisher.university | OM Sterling Global University | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Mathematics | |
| dc.subject.keyword | Physical Sciences | |
| dc.title | Forecasting of Demand in Retail and Store Multichannel using Deep Learning | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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