Data mining and visualization of logistics for e shopping services in Jordan and the region : a business intelligence approach
Dissertant
Thesis advisor
University
Princess Sumaya University for Technology
Faculty
King Abdullah II Faculty of Engineering
University Country
Jordan
Degree
Master
Degree Date
2018
English Abstract
The continuous increase of internet penetration and smartphones evolution resulted in a dramatic increase of online shopping, subsequently increased movements of orders among countries through logistics companies, which lead governments to impose customs tariffs on online orders.
This thesis aims at utilizing business intelligence tools and data mining techniques to come up with models to help and enhance the logistics company’s future plans management.
For data understanding, descriptive analytic illustrations were used by utilizing Tableau.
For the customs model development decision tree and logistic regression models were utilized and a comparison was made and resulted in that decision tree outperformed logistic regression.
For the market segmentation simple k-means were used, all models were built by Weka.
The first objective’s models predicted the probability of an order being subject to customs and its tariff’s range, the other objective segmented the markets, thus it would help in enhancing targeted marketing, future collaborations, offers and warehouses management based on each market’s needs and demands.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
77
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Research methodology.
Chapter Four : Data description using visualization.
Chapter Five : Applying visualization and DM on customs prediction Model.
Chapter Six : Cluster analysis of online ordering.
Chapter Seven : Conclusion, limitations and future work.
References.
American Psychological Association (APA)
Sharawi, Lina I.. (2018). Data mining and visualization of logistics for e shopping services in Jordan and the region : a business intelligence approach. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-795926
Modern Language Association (MLA)
Sharawi, Lina I.. Data mining and visualization of logistics for e shopping services in Jordan and the region : a business intelligence approach. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology. (2018).
https://search.emarefa.net/detail/BIM-795926
American Medical Association (AMA)
Sharawi, Lina I.. (2018). Data mining and visualization of logistics for e shopping services in Jordan and the region : a business intelligence approach. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-795926
Language
English
Data Type
Arab Theses
Record ID
BIM-795926