Implementation of agricultural product sales forecasting system based on big data analysis
In order to solve the problem of opaque sales information of agricultural products,the sales data of Dalian cherries was taken as the specific research object.Analysis and prediction methods of data and trend and gradient downward trend were used to analyze and forecast the sales data.The sales forecasting system utilizes data mining technology and data crawler technology to obtain the sales data of small and medium-sized e-commerce,strategically processes the sales data according to the granularity,forecasts the sales volume through the gradient descent algorithm,and visually dis-plays the forecast results,and the expected effect of sales basically meets the needs of production and sales and the needs of decision-making guidance,which has high practical value.
Hadoopbig data analysisgradient descent algorithmvisualization
万方数据
维普
