Knowledge Discovery Process ( NTA UGC NET Computer Science)

Introduction to the course - Datamining and Warehousing ( NTA UGC NET Computer Science)

12:15mins

What is Datamining and Why? ( NTA UGC NET Computer Science)

13:55mins

Knowledge Discovery Process ( NTA UGC NET Computer Science)

13:59mins

Data Types for Datamining( NTA UGC NET Computer Science)

15:00mins

Data Types for Data Mining 2 ( NTA UGC NET Computer Science)

13:30mins

Datamining functionalities ( Concep/class description, Mining frequent pattern, Association etc)

15:00mins

Datamining functionalities (Clustering,Outleir Analysis, Evolution Analysis) ( NTA UGC NET)

11:58mins

Classification of datamining system( NTA UGC NET Computer Science)

14:48mins

Major issues in data mining( NTA UGC NET Computer Science)

12:13mins

Major issues in data mining 2( NTA UGC NET Computer Science)

11:38mins

What is data warehouse?( NTA UGC NET Computer Science)

15:00mins

Three tier architecture of Dataware House( NTA UGC NET JRF Computer Science)

14:48mins

Concept of datacube in Data Warehousing( NTA UGC NET JRF Computer Science)

8:35mins

Conceptual modelling of Data Warehouse( NTA UGC NET JRF Computer Science)

11:06mins

Data warehouse OLAP operations( NTA UGC NET JRF Computer Science)

13:21mins

Data warehouse development approach( NTA UGC NET JRF Computer Science)

6:47mins

Introduction to Data preprocessing

9:13mins

Data Cleaning and Data Integration

14:43mins

Data Transformation in Data preprocessing

10:35mins

Frequent Pattern Mining and Association Rules

10:35mins

Data Mining classification and prediction

11:57mins

Data clustering

9:06mins