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Implementation of Apriori Algorithm to Analyze Organization Data: Building Decision Support System

by Abdullah Saad Al-malaise
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 9
Year of Publication: 2013
Authors: Abdullah Saad Al-malaise
10.5120/11113-6070

Abdullah Saad Al-malaise . Implementation of Apriori Algorithm to Analyze Organization Data: Building Decision Support System. International Journal of Computer Applications. 66, 9 ( March 2013), 23-27. DOI=10.5120/11113-6070

@article{ 10.5120/11113-6070,
author = { Abdullah Saad Al-malaise },
title = { Implementation of Apriori Algorithm to Analyze Organization Data: Building Decision Support System },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 9 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 23-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number9/11113-6070/ },
doi = { 10.5120/11113-6070 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:22:28.244741+05:30
%A Abdullah Saad Al-malaise
%T Implementation of Apriori Algorithm to Analyze Organization Data: Building Decision Support System
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 9
%P 23-27
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Building decision support system is major concern for almost every organization to get decisions on daily processes. In current market situation automated decision support systems can produce more alternatives (multi criterion) for decision makers. In this paper we propose automated decision support system with integration of data mining techniques. Building system with amalgamation of both techniques showing feasible approach that can produce appropriate results and fast processing. In presented model the data mining (DM) abstract will support to generate new rules and patterns on customers/employees queries and data. Whereas decision support system (DSS) abstract can ask help from DM databases online or offline to provide multi criterion alternatives. The main purpose of this model is to help decision makers by using multi criteria decision making strategy with DM techniques as those consider powerful tool for decision making processes. In the end we have provided practical implementation using some real world data, to show step by step meaningful purpose of the proposed model.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Decision Models Association Mining Knowledge Management

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