Knowledge-based business ıntelligence depends on data mining technique

Other Title(s)

المعرفة في ذكاء الأعمال بالاعتماد على تقنية التنقيب عن البيانات

Dissertant

Khidr, Muadh

Thesis advisor

Atir, Muhammad

Comitee Members

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

University

Amman Arab University

Faculty

Collage of Computer Sciences and Informatics

Department

Department of Computer Science

University Country

Jordan

Degree

Master

Degree Date

2012

English Abstract

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

Main Subjects

Mathematics

Topics

No. of Pages

80

Table of Contents

Table of contents.

Abstract.

Abstract in Arabic.

Chapter One : Introduction.

Chapter Two : Data mining background.

Chapter Three : Literature reviews.

Chapter Four : The proposed system.

Chapter Five : Implementation.

Chapter Six : Conclusions and future work.

References.

American Psychological Association (APA)

Khidr, Muadh. (2012). Knowledge-based business ıntelligence depends on data mining technique. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-528919

Modern Language Association (MLA)

Khidr, Muadh. Knowledge-based business ıntelligence depends on data mining technique. (Master's theses Theses and Dissertations Master). Amman Arab University. (2012).
https://search.emarefa.net/detail/BIM-528919

American Medical Association (AMA)

Khidr, Muadh. (2012). Knowledge-based business ıntelligence depends on data mining technique. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-528919

Language

English

Data Type

Arab Theses

Record ID

BIM-528919