UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1807895


Registration ID:
185799

Page Number

1143-1150

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Title

PERFORMANCE ANALYSIS OF MULTI AGENT SYSTEMS FOR DIRECT DISCRIMINATION IN DATA MINING

Abstract

Data Mining is a novel technology in the field of computer science, By using this bulk data we can be able to mine huge valuable information hidden in the datasets. Data mining provides many techniques for extracting invaluable hidden information from the datasets. The extracted valuable information can be used in the process of decision making by the administrators of the organization or business. The words Discrimination Discovery in the field of Data Mining and Multi-Agent Systems in the field of agent programming and these both unique technologies become popular in the fields of data analysis and in the information technology. Whereas In Social sciences the word discrimination can be treated as the act of unfairly treating people based on their identity to a specific or minority group. Agent Programming or Multi Agent Systems programming is a moderately a new model of programming. Fundamentally Agent Programming models an application as a collection of core elements called agents and all these agents are characterized by the properties such as autonomy, pro-activity and these agents has the capability to communicate with fellow agents. Classification Rule Mining is one of the most important techniques used for extracting hidden information from the data sets. In this technique an algorithm is trained by huge data set and the trained algorithm generates the classification rules as its output. Based on these generated classification rules, decision making can be made by the administrators of the organization. Multiple discrimination measures can be used for better identification of direct discrimination from the decision making rules and the proposed research work assigns a rank to each and every negative decision rule having sensitive attributes as its premise.

Key Words

Data mining, Agent Programming, Multi agent system, Classification rule and JADE.

Cite This Article

"PERFORMANCE ANALYSIS OF MULTI AGENT SYSTEMS FOR DIRECT DISCRIMINATION IN DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.1143-1150, July-2018, Available :http://www.jetir.org/papers/JETIR1807895.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"PERFORMANCE ANALYSIS OF MULTI AGENT SYSTEMS FOR DIRECT DISCRIMINATION IN DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp1143-1150, July-2018, Available at : http://www.jetir.org/papers/JETIR1807895.pdf

Publication Details

Published Paper ID: JETIR1807895
Registration ID: 185799
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 1143-1150
Country: Chittoor, Andhrapradesh, India .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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