Enhanced k-way method in "APRIORI" algorithm for mining the association rules through embedding SQL commands

Other Title(s)

تحسين طريقة "K-way" في خوارزمية "ابريوري" للتنقيب عن القواعد المرتبطة من خلال أوامر SQL

Dissertant

Dbwan, Basil Ali Salih

Thesis advisor

Farhan, Hazim A.

Comitee Members

al-Sadi, Jihad A.
Naum, Riyad Shakir

University

Middle East University

Faculty

Faculty of Information Technology

Department

Department of Computer Information Systems

University Country

Jordan

Degree

Master

Degree Date

2013

English Abstract

No doubt, the notable and bursting growth in data and databases has produced an imperative necessity for new mechanism and devices that can rationally and spontaneously convert the handled data into helpful and valid information and knowledge.

Data mining is such a style that evolves non axiomatic, tacit, formerly anonymous, and possibly beneficiary information from data in databases.

In this thesis we implemented the most recognized algorithm “APRIORI” for mining association rules using SQL.

Association rules that is linked to market basket data mining issue widely found in business application, which mostly used C# or Java and a text file that represent the transaction database.

But at the mean time our application transact straightaway with transaction table in relational database(Warehouse) without any necessity to transmit the pertinent data to independent text file which facilitate the process of mining the database, also the most part in this Thesis, we achieved some enhancement to K-way method to calculate frequent itemsets.

The thesis elucidated that using indexes may demean the performance of data mining process; moreover, the thesis implementation a (Graphical User Interface) for mining association rule using oracle 9i database tools.

Main Subjects

Information Technology and Computer Science

No. of Pages

66

Table of Contents

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-694603