Research Article
Comparative Analysis of Machine Learning Techniques in Sale Forecasting
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 53 - Issue 6 |
| Published: September 2012 |
| Authors: Suresh Kumar Sharma, Vinod Sharma |
10.5120/8429-2198
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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
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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