Unit 1: Introduction to Data WarehouseThis is an introductory topic about the basics of data warehouse, difference between database and data warehouse and data warehouse architecture.
OLTP/OLAP : PPT00:00
Data Mining QUIZ
Data Warehouse Modelling: PPT00:00
Data warehouse basics ASSIGNMENT
Data Warehouse Basics ASSIGNMENT
Data Mining ASSIGNMENT
Unit 2 :Introduction to Data MiningThis topic explain the basics of data mining, steps to extract knowledge from data warehouse using data mining techniques, difference between OLAP queries and data mining tehniques.
Preprocessing DISCUSSION&FORUMS00:00
Association Rule Mining DISCUSSIONS&FORUMS00:00
Data Mining Functions QUIZ
Data Mining applications: Assignment
Data Mining Challenges ASSIGNMENT
Data Mining Primitives ASSIGNMENT
KDD ASSIGNMENT
Schema ASSIGNMENT
Unit 3: Data ModelsThis video lecture will help students the following:
Why multidimensional modeling is required for data warehouse?
How ER modeling is different from multidimensional modeling?
Concept Hierarchies DISCUSSION&FORUM00:00
OLAP Queries DISCUSSION&FORUM00:00
Data Marts PPT00:00
OLAP ASSIGNMENT
Meta Data ASSIGNMENT
Cuboids ASSIGNMENT
Data Modelling ASSIGNMENT
Dimension Table ASSIGNMENT
Data Warehousing Hierarchy ASSIGNMENT
Unit 4: Association Rules
Multilevel Association Rule DISCUSSION&FORUMS00:00
Frequent Pattern Mining quiz
ASSOCIATION RULE MINING PPT00:00
Multilevel Association Rule PPT00:00
Multidimensional Association Rule PPT00:00
Market Basket Analysis ASSIGNMENT
Apriori Algorithm ASSIGNMENT
Unit 5: Classification
CLASSIFICATION TECHNIQUES DISCUSSION&FORUMS00:00
BAYSEIAN DISCUSSION&FORUMS 800:00
SEMI SUPERVISED DISCUSSION&FORUMS00:00
CLASSIFICATION QUIZ
CLASSIFICATION PPT00:00
CLASSIFICATION APPLICATION PPT00:00
DATA CLASSIFICTION ASSIGNMENT
KNN ASSIGNMENT
Unit 6: Clustering
cluster analysis DISCUSSION&FORUMS00:00
Data Mining Applications DISCUSSION&FORUMS00:00
Definitions DISCUSSION&FORUM00:00
Data Mining QUIZ
CLUSTER ANALYSIS PPT00:00
PARTITIONING ALGORITHM PPT00:00
HIERARCHICAL PARTITIONING PPT00:00
CLUSTERING ASSIGNMENT
K-Means ASSIGNMENT
Data Mining basics ppt
