کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1143585 | 1489610 | 2015 | 5 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A Clustering-based Sales Forecasting Scheme Using Support Vector Regression for Computer Server A Clustering-based Sales Forecasting Scheme Using Support Vector Regression for Computer Server](/preview/png/1143585.png)
In this study, a clustering-based sales forecasting scheme based on support vector regression (SVR) is proposed. The proposed scheme first uses k-means algorithm to partition the whole training sales data into several disjoint clusters. Then, for each group, the SVR is applied to construct forecasting model. Finally, for a given testing data, three similarity measurements are used to find the cluster which the testing data belongs to and then employee the corresponding trained SVR model to generate prediction result. A real aggregate sales data of computer server is used as an illustrative example to evaluate the performance of the proposed model. Experimental results revealed that the proposed clustering-based sales forecasting scheme outperforms the single SVR without data clustering and hence is an effective alternative for computer server sales forecasting.
Journal: Procedia Manufacturing - Volume 2, 2015, Pages 82-86