Data mining and visualization of logistics for e shopping services in Jordan and the region : a business intelligence approach
مقدم أطروحة جامعية
مشرف أطروحة جامعية
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
عدد الصفحات
77
قائمة المحتويات
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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-795926
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر