بناء نموذج عنقدة باستخدام الشبكات العصبية لدعم عملية التسويق الإلكترونى

الموضوعات

إحصاء

روابط وملفات

التعريف والنوع

رقم الوثيقة

f0956f3f-a682-427f-a9ff-72cd6ce14337

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

1965128_1.pdf

بيانات النشر

ترجمة العنوان

Building a Clustering Model Using Neural Networks for Supporting Electronic Marketing Operation

ألقاب المؤلفين

[{"name_ar":" عبد الناصر الجاسم","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":" ياسر الموسى","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"محمد لؤى عبدالرازق دهان","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

Arabic

المصدر والدورية

اسم المصدر

بناء نموذج عنقدة باستخدام الشبكات العصبية لدعم عملية التسويق الإلكترونى

المحتوى والصفحات

عدد الصفحات

0

ترجمة الملخص

This research presents a model to collect the necessary data on the books through the reference setting (Bibliography) and analysis of the book technically to make the information provided for the researcher is scientific and well planned relying on Market Segmentation principle to know the customer characteristics, and personalization relied on Implicit and Explicit for the collection of data by Tracking customer behavior models, thereby forming a data warehouse is useful in the future decision makers to generate knowledge and to take decisions on the electronic library of the university.to guide the researchers totheiraim quicklyThe researcher has modeled all of this data based on Object Oriented Modeling as one of modern approaches to Systems Analysis, and This research provides us a modelto cluster Multi-variant databases, using Factor Analysis with Principle Component Analysis (PCA) in reducing the Dimensions through deriving collection of factors from all variables, then using one of the most famous Clustering Algorithm(K-Means)in apply Clustering and We compared the results of Clustering Algorithm before and after applying the PCA on the Database by using Total Sum of errors squares (SSE) for the resultant clusters as evaluation criteria this where is database contains more than one type of variables and many objects and we demonstrated the factors and variables significant on the execution of clustering algorithm and using nervous networkin order to classify the customersand for forecasting of the groups which belong toit,and this model was applied through designing electronic library system in the Faculty of Economics -University of Aleppo

كلمات الباحثين

Artificial Neural Network, Clustering, Electronic Library, Knowledge Marketing, Personalization, Principle Component Analysis, تحليل المركبات الاساسية, تسويق المعرفة, عنقدة, مكتبة الكترونية

إشراف وإعداد

الإشراف

عبد الناصر الجاسم, ياسر الموسى

الإعداد

محمد لؤى عبدالرازق دهان

الاقتباسات الببليوغرافية