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1 Data Warehouse Introduction
Lesson 1 of 28 • 13 upvotes • 7:13mins
Mr Tanvir H Sardar
Provides overview on data warehouses and it's features.
Data Warehousing and Data Mining
28 lessons • 4h 11m
1
1 Data Warehouse Introduction
7:13mins
2
2 OLAP vs OLTP
8:00mins
3
3 Data Warehouse Architecture
7:19mins
4
4 Data Warehouse Modelling
7:35mins
5
5 OLAP Operations
6:23mins
6
6 Data Cube and Its Measures
7:17mins
7
7 Data Mining Introduction
7:34mins
8
8 Data Mining Tasks/Functionalities
9:28mins
9
9 Data Preprocessing Introduction
9:42mins
10
10 Data Preprocessing: Data Cleaning
11:36mins
11
11 Data Preprocessing: Data Integration
11:55mins
12
12 Data Preprocessing: Data Transformation
10:41mins
13
13 Data Preprocessing: Data Reduction
12:29mins
14
14 Frequent Pattern Mining Basics
9:36mins
15
15 Apriori Algorithm for Frequent Itemset Generation
10:19mins
16
16 FP Growth Algorithm
12:51mins
17
17 Classification and Prediction Basics
10:37mins
18
18 Decision Tree Induction
12:41mins
19
19 Rule based classification
6:55mins
20
20 Bayesian classification
9:25mins
21
21 KNearest Neighbors Classifier
8:39mins
22
22. Cluster Analysis Basics
7:49mins
23
23. Major Clustering Approaches
4:47mins
24
24. Partition based clustering
10:17mins
25
25. Hierarchical clustering approach
7:35mins
26
26. Density based clustering
7:25mins
27
27. Density based clustering
7:17mins
28
28. DBSCSN AND OPTICS ALGORITHMS
8:00mins
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