Essays about: "SARIMA"
Showing result 11 - 15 of 37 essays containing the word SARIMA.
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11. Comparison and evaluation of time series forecasting models and their application in beauty retailing
University essay from Högskolan Dalarna/InformatikAbstract : The beauty industry has shown steady growth within the last decade and as more retailers move their product selections online, a lot of sales data can be generated. To improve sales and to meet the ever-increasing competition in the beauty retail sector, time series forecasting has potential in providing knowledge and guidelines in decision making to improve business performance. READ MORE
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12. High Frequency Demand Forecasting : The Case of a Swedish Pharmacy Retailer
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Predicting future sales can bring many advantages to retailers with regards to organizational performance. Using big data to make accurate forecasts can enable retailer to improve their operational performance and profitability substantially by reducing lost sales, inventory levels and labor costs. READ MORE
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13. IoT Workload Characterisation for Next Generation Cloud Systems
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : The integration of The Internet of Things and cloud computing has led to the emergenceof new classes of applications ranging from smart healthcare, smart and precision agriculture,smart manufacturing to smart environmental monitoring. The rapid surge in the useof these applications is expected to generate massive amounts of data with differentcharacteristics that are yet not studied. READ MORE
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14. A study of forecasts in Financial Time Series using Machine Learning methods
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Forecasting financial time series is one of the most challenging problems in economics and business. Markets are highly complex due to non-linear factors in data and uncertainty. It moves up and down without any pattern. READ MORE
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15. Sales Forecasting by Assembly of Multiple Machine Learning Methods : A stacking approach to supervised machine learning
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Today, digitalization is a key factor for businesses to enhance growth and gain advantages and insight in their operations. Both in planning operations and understanding customers the digitalization processes today have key roles, and companies are spending more and more resources in this fields to gain critical insights and enhance growth. READ MORE