Data mining and visualization of logistics for e shopping services in Jordan and the region : a business intelligence approach

مقدم أطروحة جامعية

Sharawi, Lina I.

مشرف أطروحة جامعية

Sammur, George

الجامعة

جامعة الأميرة سمية للتكنولوجيا

الكلية

كلية الملك عبدالله الثاني للهندسة

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2018

الملخص الإنجليزي

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.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

• الأردن
• التسويق عبر الإنترنت
• ذكاء الأعمال
• البيانات

عدد الصفحات

77

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-795926