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