Knowledge-based business ıntelligence depends on data mining technique

العناوين الأخرى

المعرفة في ذكاء الأعمال بالاعتماد على تقنية التنقيب عن البيانات

مقدم أطروحة جامعية

Khidr, Muadh

مشرف أطروحة جامعية

Atir, Muhammad

أعضاء اللجنة

al-Hamami, Ala H.
al-Azami, Muayyad

الجامعة

جامعة عمان العربية

الكلية

كلية العلوم الحاسوبية و المعلوماتية

القسم الأكاديمي

قسم علم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2012

الملخص الإنجليزي

Many organizations struggle to provide the right information to the right people at the right time, to help them make the right decision.

People at all levels in any organization need to access critical business information in order to have the ability to easily analyze and share this information with suppliers, partners, and customers.

This thesis aims to apply a new system to process data using Business Intelligence Tools (BIT).

The proposed system (Business Intelligence Data Mining Technique) (BIDT) is designed to cope with all decision makers requirements in a way that contains many reports that help them to make the right decision in an efficient and effective way.

These reports are built according to Data Mining Functions, such as Classifications.

This system is general that can be applied in different business sectors e.g.

supermarkets, commercial companies and pharmacies.

Clients send data to an organization, which are collected and stored; Business Intelligence System (BIT) is used to collect and analyze target data by data mining technique such as visualization to aid decision maker make his decision accurately.

The results of this thesis are to help decision makers and analysts to monitor the values of all branches from one center e.g.

head office; by collecting all data from all branches in one data warehouse then applying this system to make them available to be analyzed by them

التخصصات الرئيسية

الرياضيات

الموضوعات

• ذكاء الأعمال
• التنقيب في البيانات
• مستودعات البيانات

عدد الصفحات

80

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-528919