A Methodology of Rule Discovery from Large-scale Multi-tier Noisy Educational Data

A Methodology of Rule Discovery from Large-scale Multi-tier Noisy Educational Data

A Master of Science thesis in Computer Engineering by Tasneem Yousuf entitled, “A Methodology of Rule Discovery from Large-scale Multi-tier Noisy Educational Data”, submitted in May 2018. Thesis advisor is Dr. Imran Ahmed Zualkernan. Soft and hard copy available.

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Yousuf, Tasneem (author)
التنسيق: doctoralThesis
منشور في: 2018
الموضوعات:
educational analytics
association mining
rule discovery
Apriori
market basket analysis
developing countries
Education
Data processing
Data mining
الوصول للمادة أونلاين:http://hdl.handle.net/11073/9357
الوسوم: إضافة وسم
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الوصف
الملخص:A Master of Science thesis in Computer Engineering by Tasneem Yousuf entitled, “A Methodology of Rule Discovery from Large-scale Multi-tier Noisy Educational Data”, submitted in May 2018. Thesis advisor is Dr. Imran Ahmed Zualkernan. Soft and hard copy available.

مواد مشابهة