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العنوان
intelligent data mining in the educational applications /
المؤلف
El-kotby, Rania ibrahem mosad.
هيئة الاعداد
باحث / رانيا إبراهيم مسعد الكتبي
مشرف / إبراهيم عبده أمين
مشرف / إبراهيم فاروق النهري
مناقش / احمد السعيد طلبه
مناقش / منصور حسن عبد الرحمن
الموضوع
DATABASES. ELECTRICAL ENGINEERING. CLASSIFICATION. intelligent data mining.
تاريخ النشر
2004.
عدد الصفحات
1 v.(various paging) :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
4/12/2004
مكان الإجازة
اتحاد مكتبات الجامعات المصرية - الهندسة الكهربية
الفهرس
Only 14 pages are availabe for public view

from 127

from 127

Abstract

Educational field has huge amounts of data that is continuously increasing. With out appropriate methodologies and tools significant information and knowledge hidden in these data may not be discovered. Therefore, there is a need for methods capable of handling and exploring large data sets. The field of Data mining and Machine learning provides a wealth of methodologies and tools for analyzing large data sets.
This work shows how to apply the data mining approach for classifying the available questions about one of the educational courses and use this classification to support decisions in the educational process. This proposed methodology could help the instructors to improve the performance of the used educational system. Neural network technique is used as one of the effective methods of the data mining. Sensitivity analysis is used to understand the behavior of the model and consequently verify the descriptive power of the presented model.