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Desicion Tree & Regression In Academic Innovation And Science Research

Chong, Cai Ning (2015) Desicion Tree & Regression In Academic Innovation And Science Research. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

In today’s world, raising capital for early stage technologies has become a gruelling process, not only has government funding been cut, but companies and investors too. This project aims to promote academic research towards commercializing research projects through MeetInventor. MeetInventor is a portal that is being developed for the purpose to help university-based inventors bring their products to the marketplace quickly. MeetInventor portal comprises of three portals which are Education portal (MOOC), Funding portal (MeetInventor) and Marketplace portal (eStore). This study is to report a sales such as research products and training modules through Intelligent Analytic Dashboard (IAD). The data of sales will be retrieved from three databases. Furthermore, artificial intelligence techniques are being chosen to analyse the sales of products and those techniques are regression and decision tree. After the data are being analysed using these two techniques, results of the analysis are being reported in the IAD. This IAD are able to report sales, predict the future sales and also the performance of the sales in that particular day.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Data mining, Regression analysis -- Data processing
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Divisions: Library > Final Year Project > FTMK
Depositing User: Nor Aini Md. Jali
Date Deposited: 14 Nov 2016 00:11
Last Modified: 14 Nov 2016 00:11
URI: http://digitalcollection.utem.edu.my/id/eprint/17572

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