Call For Paper Volume:5 Issue:10 Oct'2018 |

Machine learning techniques for categorization of buyer and seller agents

Publication Date : 25/01/2018


DOI : 10.21884/IJMTER.2018.5010.5VYPM

Author(s) :

Dinesh Kumar Singh , R K Srivastava.


Volume/Issue :
Volume 5
,
Issue 1
(01 - 2018)



Abstract :

Present study analyzes the machine learning techniques to extract and analyze meaningful patterns and correlations in a large relational database of multi-agent based trading for electronic market. In this research paper we focus on application of machine learning (ML) techniques such as decision tree (DT) (C5.0 algorithm), artificial neural network (ANN) model, sensitivity analysis (SA) and their combined model such as: decision tree with artificial neural network (DT- ANN), sensitivity analysis with artificial neural network (SA-ANN) have been deployed in the data set for categorization of the buyer and seller in term of excellent, good very good and average.


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Machine learning techniques for categorization of buyer and seller agents

January 22, 2018