مستودعات البيانات والتنقيب في البيانات

الشرح: Dr. Ahmed Yousry

• Lecture 1.1 : Introduction To Data Warehousing and mining مقفل 38 د
• Lecture 1.2 : Introduction to warehousing and Data Mining مقفل 49 د
• Lecture 2 .1: Data Similarity and Dissimilarity measures مقفل 42 د
• Lecture 2.2 : Cosine Similarity مقفل 4 د
• Lecture 3 : Data Preprocessing مقفل 43 د
• Lecture 3 : Preprocessing part 2 مقفل 37 د
• Lecture 4 : Data Warehousing and OLAP Part 1 مقفل 47 د
• Lecture 4 : Data Warehousing and OLAP Part 2 مقفل 43 د
• Lecture 5 : Mining Frequent Patterns | Apriori Algorithm شرح مقفل 39 د
• Lecture 5 : Frequent Pattern-Tree (FP-Tree) & Vertical Data Format Methods شرح مقفل 25 د
• #32 : KNN and Naive Bayes Algorithms مقفل 29 د
• #31 : Decision Tree Algorithm مقفل 31 د
• Lecture 6: Kmeans Clustering Algorithm بالعربى مقفل 28 د
• #37 : Clustering concepts and Kmeans Algorithm with Example مقفل 32 د
• #38 : Hierarchical clustering AGNES and DIANA مقفل 19 د
• # 39 : DBSCAN clustering Algorithm Explanation مقفل 31 د