NDLI: Sales Forecasting of IT Products Using a Hybrid MARS and SVR Model

Content Provider	IEEE Xplore Digital Library
Author	Chi-Jie Lu Tian-Shyug Lee Chia-Mei Lian
Copyright Year	2010
Abstract	In this study, a hybrid model using multivariate adaptive regression splines (MARS) and SVR is proposed for sales forecasting of information technology (IT) products. Support vector regression (SVR) has become a promising alternative for forecasting due to its generalization capability in obtaining a unique solution. However, one of the key problems is that SVR can not identify which forecasting variables are more important for building the forecasting model. For selecting an appropriate number of forecasting variables which can best improve the performance of the prediction model, a commonly discussed data mining technique, multivariate adaptive regression and splines (MARS), is adapted in this study. The proposed model first uses the MARS to select important forecasting variables. The obtained significant variables are then served as the inputs for the SVR model. Experimental results from three IT product sales data reveal that the obtained important variables from MARS can improve the forecasting performance of the SVR models. The proposed hybrid model outperforms the results using single SVR and single MARS models and hence provides an efficient alternative for IT product sales forecasting.
Starting Page	593
Ending Page	599
File Size	407918
Page Count	7
File Format	PDF
ISBN	9781424492442
DOI	10.1109/ICDMW.2010.11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-13
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	support vector regression Mars IT product multivariate adaptive regression splines sales forecasting Adaptation model Buildings Predictive models Marketing and sales Data models Forecasting hybrid forecsasying model
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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