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

Lesson 1 of 22 • 84 upvotes • 12:15mins

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Rashmi Vishwakarma

This lesson has detailed information about the target audience and syllabus or content I am going to cover in course data mining and ware housing.. Data Warehousing and datamining is young and fast growing field of computer science.( NTA UGC NET Computer Science)

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1

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

12:15mins

2

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

13:55mins

3

Knowledge Discovery Process ( NTA UGC NET Computer Science)

13:59mins

4

Data Types for Datamining( NTA UGC NET Computer Science)

15:00mins

5

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

13:30mins

6

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

15:00mins

7

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

11:58mins

8

Classification of datamining system( NTA UGC NET Computer Science)

14:48mins

9

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

12:13mins

10

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

11:38mins

11

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

15:00mins

12

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

14:48mins

13

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

8:35mins

14

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

11:06mins

15

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

13:21mins

16

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

6:47mins

17

Introduction to Data preprocessing

9:13mins

18

Data Cleaning and Data Integration

14:43mins

19

Data Transformation in Data preprocessing

10:35mins

20

Frequent Pattern Mining and Association Rules

10:35mins

21

Data Mining classification and prediction

11:57mins

22

Data clustering

9:06mins

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