International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 53 - Issue 6 |
Published: September 2012 |
Authors: Suresh Kumar Sharma, Vinod Sharma |
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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
@article{ 10.5120/8429-2198, author = { Suresh Kumar Sharma,Vinod Sharma }, title = { Comparative Analysis of Machine Learning Techniques in Sale Forecasting }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 53 }, number = { 6 }, pages = { 51-54 }, doi = { 10.5120/8429-2198 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A Suresh Kumar Sharma %A Vinod Sharma %T Comparative Analysis of Machine Learning Techniques in Sale Forecasting%T %J International Journal of Computer Applications %V 53 %N 6 %P 51-54 %R 10.5120/8429-2198 %I Foundation of Computer Science (FCS), NY, USA
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.