Syllabus
|
Course Code: BCA-507(I) Course Name: DATA WAREHOUSEING & MINING |
||
| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
|---|---|---|
| 1 | Introduction to Data Warehouse: OLTP Systems, Differences between OLTP Systems and Data Warehouse, Characteristics of Data Warehouse, Functionality of Data Warehouse, Advantages and Applications of Data Warehouse. | |
| 2 | Top- Down and Bottom-Up Development Methodology, Tools for Data warehouse development, Data Warehouse Types, Data Warehouse Architecture, and Components of Data warehouse Architecture, Introduction to Federated Data Warehouse Architecture. | |
| 3 | Introduction: Fundamentals of data mining, Data Mining Functionalities, Classification of Data Mining systems, Data Mining Task Primitives, Integration of a Data Mining System with a Database or a Data Warehouse System, Major issues in Data Mining. | |
| 4 | Data Preprocessing: Introduction to Data Preprocessing, Data Cleaning, Data Integration and Transformation, Data Reduction, Discretization and Concept Hierarchy Generation. | |
