Abstract

For the final requirements of (MS) of Data Analytics, we have to work on a capstone project as a graduate student. In the capstone project, we have to implement the data mining techniques we have learned during the program. This capstone project focuses on illicit drugs smuggling, where drugs have a massive negative effect on the countries and individuals. Data mining techniques have been applied to the drug smuggling dataset that has been captured worldwide. The data mining approach used in this capstone project is an unsupervised approach focusing on clustering. Three types of clustering models have been used: k-means, medoid means, hierarchal clustering, and the three models have similar results.

Publication Date

5-6-2021

Document Type

Master's Project

Student Type

Graduate

Degree Name

Professional Studies (MS)

Department, Program, or Center

Graduate Programs & Research (Dubai)

Advisor

Sanjay Modak

Advisor/Committee Member

Ioannis Karamitsos

Campus

RIT Dubai

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