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Comparative Analysis of Machine Learning Techniques in Sale Forecasting
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 53 - Number 6 |
| Year of Publication: 2012 |
| Authors: Suresh Kumar Sharma, Vinod Sharma |
10.5120/8429-2198
|
Suresh Kumar Sharma, Vinod Sharma . Comparative Analysis of Machine Learning Techniques in Sale Forecasting. International Journal of Computer Applications. 53, 6 ( September 2012), 51-54. DOI=10.5120/8429-2198
Abstract
Forecasting is a systematic attempt to examine the future by inference from known facts. Sales forecasting is an ballpark figure of sales during a specified future period. Formerly, it was a manual process using the mathematical formulas. Due to the advent of computer the process of sale forecasting is fast and accurate. Machine learning, a subfield of Artificial Intelligence, has many algorithms that are used for forecasting. The aim of this research paper is to present a comparative analysis between the traditional methods of forecasting and machine learning techniques. A new technique known as combine approach which constructs from both moving average and ANN and interesting results so obtained are presented here. Experimental setup uses MATLAB.
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