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Solatin, Mimie Suzana (2011) VENDOR RATE SELECTION SYSTEM APPLIED WITH DATA MINING. Universiti Teknologi Petronas. (Unpublished)

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In business world, making a good and correct decision is essential but for a person alone to make the decision, the result will be incorrect as human being will include their emotion while making the decision. In order to fix this problem, a business system that fully utilized their previous business's data and pattern should be developed. The scope of this report is to give an overview about how this system being developed and worked provided with some related research and discussion. In this project, it will use data mining technique in order to fmd the most suitable logistics vendor to be used in a company. In order to get the pattern, there are several factors that will be considered for examples the rate given, destination, services provided and etc. The main objective of this project is to analyze past vendor's data set from a company by using data mining technique, thus, it will help the user to make a better decision. By using the technique, the set of data will be group into vendor's company classes and the most frequent vendor that has been used before will be selected and the system will prompt the user. The methodology used in this project is Extreme Programming (XP) methodology because there are many advantages such as this methodology can apply to changes. This project will help a collaboration company to improve their decision making and business performance.

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: T Technology > T Technology (General)
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Users 2053 not found.
Date Deposited: 13 Sep 2013 16:21
Last Modified: 25 Jan 2017 09:42
URI: http://utpedia.utp.edu.my/id/eprint/6725

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