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Comparative Analysis of Machine Learning Techniques in Sale Forecasting

by Suresh Kumar Sharma, Vinod Sharma
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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

@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 },
issue_date = { September 2012 },
volume = { 53 },
number = { 6 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 51-54 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number6/8429-2198/ },
doi = { 10.5120/8429-2198 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:53:27.876865+05:30
%A Suresh Kumar Sharma
%A Vinod Sharma
%T Comparative Analysis of Machine Learning Techniques in Sale Forecasting
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 6
%P 51-54
%D 2012
%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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Moving Average EMA (Exponential Moving Average) ANN(Artificial Neural Network) KNN( K-Nearest Neighbor)

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