Genetic algorithm for attribute oriented induction mining by using association

مقدم أطروحة جامعية

Yasir Ali E.

الجامعة

الجامعة التكنولوجية

الكلية

-

القسم الأكاديمي

قسم علوم الحاسوب

دولة الجامعة

العراق

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2004

الملخص الإنجليزي

The amounts of data kept in computer files with database are growing at a phenomenal rate.

The users of these data are expecting more sophisticated information from them.

The DML (Data Management Language) is not adequate to support these needs.

Data mining is concepts which finding unknown information in database.

The Attribute-Oriented Induction (AOI) technique which is one of the data mining techniques used to analyzing database.

It has its own unique features, which are designed to address unique AOI problems that cannot be solved by other data analysis tools. A data mining algorithm is the mathematical and statistical algorithms that transform the cases in the original data source into the data mining model.

An AOI is used to analysis the data to generalize the attributes according to two thresholds which determine the depth of rolling-up or rolling-down.

The end result is some of attributes that succeeds in generalizing by passing the thresholds test, each one of them raises one value that represents the phenomenon in that database which is mined.

The general objective is to find the useful behavior in specific database to take right action in future work according to hidden information that is abstracted by AOI technique.

The main obstacle in AOI algorithm is the input of algorithm includes (specified attributes that are relevant to the user query, also specified generalized attributes),as we have seen in this thesis, this is not practical.

So we used another means to aid AOI technique through these obstacles by using Genetic Algorithm (GA), the main step in GA is Fitness Function, which is to determined it nontrivial mission, in our research we used another data mining technique as a fitness function and that is the Association Rules.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

• الإدارة
• الخوارزميات
• قواعد البيانات
• التنقيب في البيانات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-305768