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A Hybrid Sales Forecasting Scheme by Combining Independent Component Analysis with K-Means Clustering and Support Vector Regression
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-17
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Sales forecasting plays an important role in operating a business since it can be used to determine the required inventory level to meet consumer demand and avoid the problem of under/overstocking.
Improving the accuracy of sales forecasting has become an important issue of operating a business.
This study proposes a hybrid sales forecasting scheme by combining independent component analysis (ICA) with K-means clustering and support vector regression (SVR).
The proposed scheme first uses the ICA to extract hidden information from the observed sales data.
The extracted features are then applied to K-means algorithm for clustering the sales data into several disjoined clusters.
Finally, the SVR forecasting models are applied to each group to generate final forecasting results.
Experimental results from information technology (IT) product agent sales data reveal that the proposed sales forecasting scheme outperforms the three comparison models and hence provides an efficient alternative for sales forecasting.
American Psychological Association (APA)
Lu, Chi-Jie& Chang, Chi-Chang. 2014. A Hybrid Sales Forecasting Scheme by Combining Independent Component Analysis with K-Means Clustering and Support Vector Regression. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050388
Modern Language Association (MLA)
Lu, Chi-Jie& Chang, Chi-Chang. A Hybrid Sales Forecasting Scheme by Combining Independent Component Analysis with K-Means Clustering and Support Vector Regression. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1050388
American Medical Association (AMA)
Lu, Chi-Jie& Chang, Chi-Chang. A Hybrid Sales Forecasting Scheme by Combining Independent Component Analysis with K-Means Clustering and Support Vector Regression. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050388
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050388